| 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=None): |
|---|
| 14 | self._visible = rcParams['plotter.gui'] |
|---|
| 15 | if visible is not None: |
|---|
| 16 | self._visible = visible |
|---|
| 17 | self._plotter = self._newplotter() |
|---|
| 18 | |
|---|
| 19 | self._tdict = {'Time':'t','time':'t','t':'t','T':'t'} |
|---|
| 20 | self._bdict = {'Beam':'b','beam':'b','b':'b','B':'b'} |
|---|
| 21 | self._idict = {'IF':'i','if':'i','i':'i','I':'i'} |
|---|
| 22 | self._pdict = {'Pol':'p','pol':'p','p':'p'} |
|---|
| 23 | self._sdict = {'scan':'s','Scan':'s','s':'s','S':'s'} |
|---|
| 24 | self._cdict = {'t':'len(self._cursor["t"])', |
|---|
| 25 | 'b':'len(self._cursor["b"])', |
|---|
| 26 | 'i':'len(self._cursor["i"])', |
|---|
| 27 | 'p':'len(self._cursor["p"])', |
|---|
| 28 | 's':'len(scans)'} |
|---|
| 29 | self._ldict = {'b':'Beam', |
|---|
| 30 | 'i':'IF', |
|---|
| 31 | 'p':'Pol', |
|---|
| 32 | 's':'Scan'} |
|---|
| 33 | self._dicts = [self._tdict,self._bdict, |
|---|
| 34 | self._idict,self._pdict, |
|---|
| 35 | self._sdict] |
|---|
| 36 | self._panelling = None |
|---|
| 37 | self._stacking = None |
|---|
| 38 | self.set_panelling() |
|---|
| 39 | self.set_stacking() |
|---|
| 40 | self._rows = None |
|---|
| 41 | self._cols = None |
|---|
| 42 | self._autoplot = False |
|---|
| 43 | self._minmaxx = None |
|---|
| 44 | self._minmaxy = None |
|---|
| 45 | self._datamask = None |
|---|
| 46 | self._data = None |
|---|
| 47 | self._lmap = None |
|---|
| 48 | self._title = None |
|---|
| 49 | self._ordinate = None |
|---|
| 50 | self._abcissa = None |
|---|
| 51 | self._abcunit = None |
|---|
| 52 | self._cursor = {'t':None, 'b':None, |
|---|
| 53 | 'i':None, 'p':None |
|---|
| 54 | } |
|---|
| 55 | self._usermask = None |
|---|
| 56 | self._usermaskspectra = None |
|---|
| 57 | |
|---|
| 58 | def _newplotter(self): |
|---|
| 59 | if self._visible: |
|---|
| 60 | from asap.asaplotgui import asaplotgui as asaplot |
|---|
| 61 | else: |
|---|
| 62 | from asap.asaplot import asaplot |
|---|
| 63 | return asaplot() |
|---|
| 64 | |
|---|
| 65 | |
|---|
| 66 | def _translate(self, name): |
|---|
| 67 | for d in self._dicts: |
|---|
| 68 | if d.has_key(name): |
|---|
| 69 | return d[name] |
|---|
| 70 | return None |
|---|
| 71 | |
|---|
| 72 | def plot(self, *args): |
|---|
| 73 | """ |
|---|
| 74 | Plot a (list of) scantables. |
|---|
| 75 | Parameters: |
|---|
| 76 | one or more comma separated scantables |
|---|
| 77 | Note: |
|---|
| 78 | If a (list) of scantables was specified in a previous call |
|---|
| 79 | to plot, no argument has to be given to 'replot' |
|---|
| 80 | NO checking is done that the abcissas of the scantables |
|---|
| 81 | are consistent e.g. all 'channel' or all 'velocity' etc. |
|---|
| 82 | """ |
|---|
| 83 | if self._plotter.is_dead: |
|---|
| 84 | self._plotter = self._newplotter() |
|---|
| 85 | self._plotter.hold() |
|---|
| 86 | self._plotter.clear() |
|---|
| 87 | if len(args) > 0: |
|---|
| 88 | if self._data is not None: |
|---|
| 89 | if list(args) != self._data: |
|---|
| 90 | self._data = list(args) |
|---|
| 91 | # reset |
|---|
| 92 | self._reset() |
|---|
| 93 | else: |
|---|
| 94 | if isinstance(args[0], list): |
|---|
| 95 | self._data = args[0] |
|---|
| 96 | else: |
|---|
| 97 | self._data = list(args) |
|---|
| 98 | self._reset() |
|---|
| 99 | # ranges become invalid when unit changes |
|---|
| 100 | if self._abcunit != self._data[0].get_unit(): |
|---|
| 101 | self._minmaxx = None |
|---|
| 102 | self._minmaxy = None |
|---|
| 103 | self._abcunit = self._data[0].get_unit() |
|---|
| 104 | self._datamask = None |
|---|
| 105 | if self._panelling == 't': |
|---|
| 106 | maxrows = 25 |
|---|
| 107 | if self._data[0].nrow() > maxrows: |
|---|
| 108 | if self._cursor["t"] is None or \ |
|---|
| 109 | (isinstance(self._cursor["t"],list) and \ |
|---|
| 110 | len(self._cursor["t"]) > maxrows ): |
|---|
| 111 | print "Scan to be plotted contains more than %d rows.\n" \ |
|---|
| 112 | "Selecting first %d rows..." % (maxrows,maxrows) |
|---|
| 113 | self._cursor["t"] = range(maxrows) |
|---|
| 114 | self._plot_time(self._data[0], self._stacking) |
|---|
| 115 | elif self._panelling == 's': |
|---|
| 116 | self._plot_scans(self._data, self._stacking) |
|---|
| 117 | else: |
|---|
| 118 | self._plot_other(self._data, self._stacking) |
|---|
| 119 | if self._minmaxy is not None: |
|---|
| 120 | self._plotter.set_limits(ylim=self._minmaxy) |
|---|
| 121 | self._plotter.release() |
|---|
| 122 | return |
|---|
| 123 | |
|---|
| 124 | def _plot_time(self, scan, colmode): |
|---|
| 125 | if colmode == 't': |
|---|
| 126 | return |
|---|
| 127 | n = len(self._cursor["t"]) |
|---|
| 128 | cdict = {'b':'scan.setbeam(j)', |
|---|
| 129 | 'i':'scan.setif(j)', |
|---|
| 130 | 'p':'scan.setpol(j)'} |
|---|
| 131 | cdict2 = {'b':'self._cursor["b"]', |
|---|
| 132 | 'i':'self._cursor["i"]', |
|---|
| 133 | 'p':'self._cursor["p"]'} |
|---|
| 134 | ncol = 1 |
|---|
| 135 | if self._stacking is not None: |
|---|
| 136 | ncol = eval(self._cdict.get(colmode)) |
|---|
| 137 | if n > 1: |
|---|
| 138 | ganged = rcParams['plotter.ganged'] |
|---|
| 139 | if self._rows and self._cols: |
|---|
| 140 | n = min(n,self._rows*self._cols) |
|---|
| 141 | self._plotter.set_panels(rows=self._rows,cols=self._cols, |
|---|
| 142 | nplots=n,ganged=ganged) |
|---|
| 143 | else: |
|---|
| 144 | self._plotter.set_panels(rows=n,cols=0,nplots=n,ganged=ganged) |
|---|
| 145 | else: |
|---|
| 146 | self._plotter.set_panels() |
|---|
| 147 | rows = self._cursor["t"] |
|---|
| 148 | self._plotter.palette(0) |
|---|
| 149 | for rowsel in rows: |
|---|
| 150 | i = self._cursor["t"].index(rowsel) |
|---|
| 151 | if n > 1: |
|---|
| 152 | self._plotter.palette(0) |
|---|
| 153 | self._plotter.subplot(i) |
|---|
| 154 | colvals = eval(cdict2.get(colmode)) |
|---|
| 155 | for j in colvals: |
|---|
| 156 | polmode = "raw" |
|---|
| 157 | jj = colvals.index(j) |
|---|
| 158 | savej = j |
|---|
| 159 | for k in cdict.keys(): |
|---|
| 160 | sel = eval(cdict2.get(k)) |
|---|
| 161 | j = sel[0] |
|---|
| 162 | if k == "p": |
|---|
| 163 | which = self._cursor["p"].index(j) |
|---|
| 164 | polmode = self._polmode[which] |
|---|
| 165 | j = which |
|---|
| 166 | eval(cdict.get(k)) |
|---|
| 167 | j = savej |
|---|
| 168 | if colmode == "p": |
|---|
| 169 | polmode = self._polmode[self._cursor["p"].index(j)] |
|---|
| 170 | #j = jj |
|---|
| 171 | eval(cdict.get(colmode)) |
|---|
| 172 | x = None |
|---|
| 173 | y = None |
|---|
| 174 | m = None |
|---|
| 175 | if self._title is None: |
|---|
| 176 | tlab = scan._getsourcename(rowsel) |
|---|
| 177 | else: |
|---|
| 178 | if len(self._title) >= n: |
|---|
| 179 | tlab = self._title[rowsel] |
|---|
| 180 | else: |
|---|
| 181 | tlab = scan._getsourcename(rowsel) |
|---|
| 182 | x,xlab = scan.get_abcissa(rowsel) |
|---|
| 183 | if self._abcissa: xlab = self._abcissa |
|---|
| 184 | y = None |
|---|
| 185 | m = scan._getmask(rowsel) |
|---|
| 186 | if self._usermask and self._usermask.count(j): |
|---|
| 187 | m = logical_and(self._usermask, m) |
|---|
| 188 | if polmode == "stokes": |
|---|
| 189 | y = scan._getstokesspectrum(rowsel) |
|---|
| 190 | elif polmode == "stokes2": |
|---|
| 191 | y = scan._getstokesspectrum(rowsel,True) |
|---|
| 192 | elif polmode == "circular": |
|---|
| 193 | y = scan._stokestopolspectrum(rowsel,False,-1) |
|---|
| 194 | else: |
|---|
| 195 | y = scan._getspectrum(rowsel) |
|---|
| 196 | if self._ordinate: |
|---|
| 197 | ylab = self._ordinate |
|---|
| 198 | else: |
|---|
| 199 | ylab = scan._get_ordinate_label() |
|---|
| 200 | m = scan._getmask(rowsel) |
|---|
| 201 | if self._datamask is not None: |
|---|
| 202 | if len(m) == len(self._datamask): |
|---|
| 203 | m = logical_and(m,self._datamask) |
|---|
| 204 | if self._lmap and len(self._lmap) > 0: |
|---|
| 205 | llab = self._lmap[jj] |
|---|
| 206 | else: |
|---|
| 207 | if colmode == 'p': |
|---|
| 208 | llab = self._get_pollabel(scan, polmode) |
|---|
| 209 | else: |
|---|
| 210 | llab = self._ldict.get(colmode)+' '+str(j) |
|---|
| 211 | self._plotter.set_line(label=llab) |
|---|
| 212 | if self._minmaxx is not None: |
|---|
| 213 | s,e = self._slice_indeces(x) |
|---|
| 214 | x = x[s:e] |
|---|
| 215 | y = y[s:e] |
|---|
| 216 | m = m[s:e] |
|---|
| 217 | if len(x) > 1024 and rcParams['plotter.decimate']: |
|---|
| 218 | fac = len(x)/1024 |
|---|
| 219 | x = x[::fac] |
|---|
| 220 | m = m[::fac] |
|---|
| 221 | y = y[::fac] |
|---|
| 222 | self._plotter.plot(x,y,m) |
|---|
| 223 | xlim=[min(x),max(x)] |
|---|
| 224 | if self._minmaxx is not None: |
|---|
| 225 | xlim = self._minmaxx |
|---|
| 226 | self._plotter.axes.set_xlim(xlim) |
|---|
| 227 | self._plotter.set_axes('xlabel',xlab) |
|---|
| 228 | self._plotter.set_axes('ylabel',ylab) |
|---|
| 229 | self._plotter.set_axes('title',tlab) |
|---|
| 230 | return |
|---|
| 231 | |
|---|
| 232 | def _plot_scans(self, scans, colmode): |
|---|
| 233 | print "Plotting mode is scans across panels. Can only plot one row per scan." |
|---|
| 234 | if colmode == 's': |
|---|
| 235 | return |
|---|
| 236 | cdict = {'b':'scan.setbeam(j)', |
|---|
| 237 | 'i':'scan.setif(j)', |
|---|
| 238 | 'p':'scan.setpol(j)'} |
|---|
| 239 | cdict2 = {'b':'self._cursor["b"]', |
|---|
| 240 | 'i':'self._cursor["i"]', |
|---|
| 241 | 'p':'self._cursor["p"]'} |
|---|
| 242 | |
|---|
| 243 | n = len(scans) |
|---|
| 244 | ncol = 1 |
|---|
| 245 | if self._stacking is not None: |
|---|
| 246 | scan = scans[0] |
|---|
| 247 | ncol = eval(self._cdict.get(colmode)) |
|---|
| 248 | if n > 1: |
|---|
| 249 | ganged = rcParams['plotter.ganged'] |
|---|
| 250 | if self._rows and self._cols: |
|---|
| 251 | n = min(n,self._rows*self._cols) |
|---|
| 252 | self._plotter.set_panels(rows=self._rows,cols=self._cols, |
|---|
| 253 | nplots=n,ganged=ganged) |
|---|
| 254 | else: |
|---|
| 255 | self._plotter.set_panels(rows=n,cols=0,nplots=n,ganged=ganged) |
|---|
| 256 | else: |
|---|
| 257 | self._plotter.set_panels() |
|---|
| 258 | |
|---|
| 259 | for scan in scans: |
|---|
| 260 | self._plotter.palette(0) |
|---|
| 261 | if n > 1: |
|---|
| 262 | self._plotter.subplot(scans.index(scan)) |
|---|
| 263 | colvals = eval(cdict2.get(colmode)) |
|---|
| 264 | rowsel = self._cursor["t"][0] |
|---|
| 265 | for j in colvals: |
|---|
| 266 | polmode = "raw" |
|---|
| 267 | jj = colvals.index(j) |
|---|
| 268 | savej = j |
|---|
| 269 | for k in cdict.keys(): |
|---|
| 270 | sel = eval(cdict2.get(k)) |
|---|
| 271 | j = sel[0] |
|---|
| 272 | eval(cdict.get(k)) |
|---|
| 273 | if k == "p": |
|---|
| 274 | which = self._cursor["p"].index(j) |
|---|
| 275 | polmode = self._polmode[which] |
|---|
| 276 | j = which |
|---|
| 277 | j = savej |
|---|
| 278 | if colmode == "p": |
|---|
| 279 | polmode = self._polmode[self._cursor["p"].index(j)] |
|---|
| 280 | #j = jj |
|---|
| 281 | eval(cdict.get(colmode)) |
|---|
| 282 | x = None |
|---|
| 283 | y = None |
|---|
| 284 | m = None |
|---|
| 285 | tlab = self._title |
|---|
| 286 | if not self._title: |
|---|
| 287 | tlab = scan._getsourcename(rowsel) |
|---|
| 288 | x,xlab = scan.get_abcissa(rowsel) |
|---|
| 289 | if self._abcissa: xlab = self._abcissa |
|---|
| 290 | if polmode == "stokes": |
|---|
| 291 | y = scan._getstokesspectrum(rowsel) |
|---|
| 292 | elif polmode == "stokes2": |
|---|
| 293 | y = scan._getstokesspectrum(rowsel,True) |
|---|
| 294 | elif polmode == "circular": |
|---|
| 295 | y = scan._stokestopolspectrum(rowsel,False,-1) |
|---|
| 296 | else: |
|---|
| 297 | y = scan._getspectrum(rowsel) |
|---|
| 298 | if self._ordinate: |
|---|
| 299 | ylab = self._ordinate |
|---|
| 300 | else: |
|---|
| 301 | ylab = scan._get_ordinate_label() |
|---|
| 302 | m = scan._getmask(rowsel) |
|---|
| 303 | if self._usermask and self._usermask.count(j): |
|---|
| 304 | m = logical_and(self._usermask, m) |
|---|
| 305 | if self._lmap and len(self._lmap) > 0: |
|---|
| 306 | llab = self._lmap[jj] |
|---|
| 307 | else: |
|---|
| 308 | if colmode == 'p': |
|---|
| 309 | llab = self._get_pollabel(scan, polmode) |
|---|
| 310 | else: |
|---|
| 311 | llab = self._ldict.get(colmode)+' '+str(j) |
|---|
| 312 | self._plotter.set_line(label=llab) |
|---|
| 313 | if self._minmaxx is not None: |
|---|
| 314 | s,e = self._slice_indeces(x) |
|---|
| 315 | x = x[s:e] |
|---|
| 316 | y = y[s:e] |
|---|
| 317 | m = m[s:e] |
|---|
| 318 | if len(x) > 1024 and rcParams['plotter.decimate']: |
|---|
| 319 | fac = len(x)/1024 |
|---|
| 320 | x = x[::fac] |
|---|
| 321 | m = m[::fac] |
|---|
| 322 | y = y[::fac] |
|---|
| 323 | self._plotter.plot(x,y,m) |
|---|
| 324 | xlim=[min(x),max(x)] |
|---|
| 325 | if self._minmaxx is not None: |
|---|
| 326 | xlim = self._minmaxx |
|---|
| 327 | self._plotter.axes.set_xlim(xlim) |
|---|
| 328 | |
|---|
| 329 | self._plotter.set_axes('xlabel',xlab) |
|---|
| 330 | self._plotter.set_axes('ylabel',ylab) |
|---|
| 331 | self._plotter.set_axes('title',tlab) |
|---|
| 332 | return |
|---|
| 333 | |
|---|
| 334 | def _plot_other(self,scans,colmode): |
|---|
| 335 | if colmode == self._panelling: |
|---|
| 336 | return |
|---|
| 337 | cdict = {'b':'scan.setbeam(i)', |
|---|
| 338 | 'i':'scan.setif(i)', |
|---|
| 339 | 'p':'scan.setpol(i)'} |
|---|
| 340 | cdict2 = {'b':'self._cursor["b"]', |
|---|
| 341 | 'i':'self._cursor["i"]', |
|---|
| 342 | 'p':'self._cursor["p"]', |
|---|
| 343 | 's': 'scans', |
|---|
| 344 | 't': 'self._cursor["t"]'} |
|---|
| 345 | scan = scans[0] |
|---|
| 346 | n = eval(self._cdict.get(self._panelling)) |
|---|
| 347 | ncol=1 |
|---|
| 348 | if self._stacking is not None: |
|---|
| 349 | ncol = eval(self._cdict.get(colmode)) |
|---|
| 350 | if n > 1: |
|---|
| 351 | ganged = rcParams['plotter.ganged'] |
|---|
| 352 | if self._rows and self._cols: |
|---|
| 353 | n = min(n,self._rows*self._cols) |
|---|
| 354 | self._plotter.set_panels(rows=self._rows,cols=self._cols, |
|---|
| 355 | nplots=n,ganged=ganged) |
|---|
| 356 | else: |
|---|
| 357 | self._plotter.set_panels(rows=n,cols=0,nplots=n,ganged=ganged) |
|---|
| 358 | else: |
|---|
| 359 | self._plotter.set_panels() |
|---|
| 360 | panels = self._cursor[self._panelling] |
|---|
| 361 | for i in panels: |
|---|
| 362 | self._plotter.palette(0) |
|---|
| 363 | polmode = "raw" |
|---|
| 364 | ii = self._cursor[self._panelling].index(i) |
|---|
| 365 | if n>1: |
|---|
| 366 | self._plotter.subplot(ii) |
|---|
| 367 | if self._panelling == "p": |
|---|
| 368 | polmode = self._polmode[ii] |
|---|
| 369 | eval(cdict.get(self._panelling)) |
|---|
| 370 | else: |
|---|
| 371 | eval(cdict.get(self._panelling)) |
|---|
| 372 | colvals = eval(cdict2.get(colmode)) |
|---|
| 373 | for j in colvals: |
|---|
| 374 | rowsel = self._cursor["t"][0] |
|---|
| 375 | jj = colvals.index(j) |
|---|
| 376 | savei = i |
|---|
| 377 | for k in cdict.keys(): |
|---|
| 378 | if k != self._panelling: |
|---|
| 379 | sel = eval(cdict2.get(k)) |
|---|
| 380 | i = sel[0] |
|---|
| 381 | if k == "p": |
|---|
| 382 | which = self._cursor["p"].index(i) |
|---|
| 383 | polmode = self._polmode[which] |
|---|
| 384 | i = which |
|---|
| 385 | eval(cdict.get(k)) |
|---|
| 386 | i = savei |
|---|
| 387 | if colmode == 's': |
|---|
| 388 | scan = j |
|---|
| 389 | elif colmode == 't': |
|---|
| 390 | rowsel = j |
|---|
| 391 | else: |
|---|
| 392 | savei = i |
|---|
| 393 | if colmode == 'p': |
|---|
| 394 | polmode = self._polmode[self._cursor["p"].index(j)] |
|---|
| 395 | i = j |
|---|
| 396 | eval(cdict.get(colmode)) |
|---|
| 397 | i = savei |
|---|
| 398 | x = None |
|---|
| 399 | y = None |
|---|
| 400 | m = None |
|---|
| 401 | x,xlab = scan.get_abcissa(rowsel) |
|---|
| 402 | if self._abcissa: xlab = self._abcissa |
|---|
| 403 | if polmode == "stokes": |
|---|
| 404 | y = scan._getstokesspectrum(rowsel) |
|---|
| 405 | elif polmode == "stokes2": |
|---|
| 406 | y = scan._getstokesspectrum(rowsel,True) |
|---|
| 407 | elif polmode == "circular": |
|---|
| 408 | y = scan._stokestopolspectrum(rowsel,False,-1) |
|---|
| 409 | else: |
|---|
| 410 | y = scan._getspectrum(rowsel) |
|---|
| 411 | |
|---|
| 412 | if self._ordinate: |
|---|
| 413 | ylab = self._ordinate |
|---|
| 414 | else: |
|---|
| 415 | ylab = scan._get_ordinate_label() |
|---|
| 416 | m = scan._getmask(rowsel) |
|---|
| 417 | if self._usermask and self._usermask.count(j): |
|---|
| 418 | m = logical_and(self._usermask, m) |
|---|
| 419 | |
|---|
| 420 | if colmode == 's' or colmode == 't': |
|---|
| 421 | if self._title and len(self._title) > 0: |
|---|
| 422 | tlab = self._title[ii] |
|---|
| 423 | else: |
|---|
| 424 | if self._panelling == 'p': |
|---|
| 425 | tlab = self._get_pollabel(scan, polmode) |
|---|
| 426 | else: |
|---|
| 427 | tlab = self._ldict.get(self._panelling)+' '+str(i) |
|---|
| 428 | if self._lmap and len(self._lmap) > 0: |
|---|
| 429 | llab = self._lmap[jj] |
|---|
| 430 | else: |
|---|
| 431 | llab = scan._getsourcename(rowsel) |
|---|
| 432 | else: |
|---|
| 433 | if self._title and len(self._title) > 0: |
|---|
| 434 | tlab = self._title[ii] |
|---|
| 435 | else: |
|---|
| 436 | if self._panelling == 'p': |
|---|
| 437 | tlab = self._get_pollabel(scan, polmode) |
|---|
| 438 | else: |
|---|
| 439 | tlab = self._ldict.get(self._panelling)+' '+str(i) |
|---|
| 440 | if self._lmap and len(self._lmap) > 0: |
|---|
| 441 | llab = self._lmap[jj] |
|---|
| 442 | else: |
|---|
| 443 | if colmode == 'p': |
|---|
| 444 | llab = self._get_pollabel(scan, polmode) |
|---|
| 445 | else: |
|---|
| 446 | llab = self._ldict.get(colmode)+' '+str(j) |
|---|
| 447 | self._plotter.set_line(label=llab) |
|---|
| 448 | if self._minmaxx is not None: |
|---|
| 449 | s,e = self._slice_indeces(x) |
|---|
| 450 | x = x[s:e] |
|---|
| 451 | y = y[s:e] |
|---|
| 452 | m = m[s:e] |
|---|
| 453 | if len(x) > 1024 and rcParams['plotter.decimate']: |
|---|
| 454 | fac = len(x)/1024 |
|---|
| 455 | x = x[::fac] |
|---|
| 456 | m = m[::fac] |
|---|
| 457 | y = y[::fac] |
|---|
| 458 | self._plotter.plot(x,y,m) |
|---|
| 459 | xlim=[min(x),max(x)] |
|---|
| 460 | if self._minmaxx is not None: |
|---|
| 461 | xlim = self._minmaxx |
|---|
| 462 | self._plotter.axes.set_xlim(xlim) |
|---|
| 463 | |
|---|
| 464 | self._plotter.set_axes('xlabel',xlab) |
|---|
| 465 | self._plotter.set_axes('ylabel',ylab) |
|---|
| 466 | self._plotter.set_axes('title',tlab) |
|---|
| 467 | |
|---|
| 468 | return |
|---|
| 469 | |
|---|
| 470 | |
|---|
| 471 | def set_mode(self, stacking=None, panelling=None): |
|---|
| 472 | """ |
|---|
| 473 | Set the plots look and feel, i.e. what you want to see on the plot. |
|---|
| 474 | Parameters: |
|---|
| 475 | stacking: tell the plotter which variable to plot |
|---|
| 476 | as line color overlays (default 'pol') |
|---|
| 477 | panelling: tell the plotter which variable to plot |
|---|
| 478 | across multiple panels (default 'scan' |
|---|
| 479 | Note: |
|---|
| 480 | Valid modes are: |
|---|
| 481 | 'beam' 'Beam' 'b': Beams |
|---|
| 482 | 'if' 'IF' 'i': IFs |
|---|
| 483 | 'pol' 'Pol' 'p': Polarisations |
|---|
| 484 | 'scan' 'Scan' 's': Scans |
|---|
| 485 | 'time' 'Time' 't': Times |
|---|
| 486 | """ |
|---|
| 487 | if not self.set_panelling(panelling): |
|---|
| 488 | print "Invalid mode" |
|---|
| 489 | return |
|---|
| 490 | if not self.set_stacking(stacking): |
|---|
| 491 | print "Invalid mode" |
|---|
| 492 | return |
|---|
| 493 | if self._data: self.plot() |
|---|
| 494 | return |
|---|
| 495 | |
|---|
| 496 | def set_panelling(self, what=None): |
|---|
| 497 | mode = what |
|---|
| 498 | if mode is None: |
|---|
| 499 | mode = rcParams['plotter.panelling'] |
|---|
| 500 | md = self._translate(mode) |
|---|
| 501 | if md: |
|---|
| 502 | self._panelling = md |
|---|
| 503 | self._title = None |
|---|
| 504 | return True |
|---|
| 505 | return False |
|---|
| 506 | |
|---|
| 507 | def set_layout(self,rows=None,cols=None): |
|---|
| 508 | """ |
|---|
| 509 | Set the multi-panel layout, i.e. how many rows and columns plots |
|---|
| 510 | are visible. |
|---|
| 511 | Parameters: |
|---|
| 512 | rows: The number of rows of plots |
|---|
| 513 | cols: The number of columns of plots |
|---|
| 514 | Note: |
|---|
| 515 | If no argument is given, the potter reverts to its auto-plot |
|---|
| 516 | behaviour. |
|---|
| 517 | """ |
|---|
| 518 | self._rows = rows |
|---|
| 519 | self._cols = cols |
|---|
| 520 | if self._data: self.plot() |
|---|
| 521 | return |
|---|
| 522 | |
|---|
| 523 | def set_stacking(self, what=None): |
|---|
| 524 | mode = what |
|---|
| 525 | if mode is None: |
|---|
| 526 | mode = rcParams['plotter.stacking'] |
|---|
| 527 | md = self._translate(mode) |
|---|
| 528 | if md: |
|---|
| 529 | self._stacking = md |
|---|
| 530 | self._lmap = None |
|---|
| 531 | return True |
|---|
| 532 | return False |
|---|
| 533 | |
|---|
| 534 | def set_range(self,xstart=None,xend=None,ystart=None,yend=None): |
|---|
| 535 | """ |
|---|
| 536 | Set the range of interest on the abcissa of the plot |
|---|
| 537 | Parameters: |
|---|
| 538 | [x,y]start,[x,y]end: The start and end points of the 'zoom' window |
|---|
| 539 | Note: |
|---|
| 540 | These become non-sensical when the unit changes. |
|---|
| 541 | use plotter.set_range() without parameters to reset |
|---|
| 542 | |
|---|
| 543 | """ |
|---|
| 544 | if xstart is None and xend is None: |
|---|
| 545 | self._minmaxx = None |
|---|
| 546 | else: |
|---|
| 547 | self._minmaxx = [xstart,xend] |
|---|
| 548 | if ystart is None and yend is None: |
|---|
| 549 | self._minmaxy = None |
|---|
| 550 | else: |
|---|
| 551 | self._minmaxy = [ystart,yend] |
|---|
| 552 | if self._data: self.plot() |
|---|
| 553 | return |
|---|
| 554 | |
|---|
| 555 | def set_legend(self, mp=None): |
|---|
| 556 | """ |
|---|
| 557 | Specify a mapping for the legend instead of using the default |
|---|
| 558 | indices: |
|---|
| 559 | Parameters: |
|---|
| 560 | mp: a list of 'strings'. This should have the same length |
|---|
| 561 | as the number of elements on the legend and then maps |
|---|
| 562 | to the indeces in order. It is possible to uses latex |
|---|
| 563 | math expression. These have to be enclosed in r'', e.g. r'$x^{2}$' |
|---|
| 564 | |
|---|
| 565 | Example: |
|---|
| 566 | If the data has two IFs/rest frequencies with index 0 and 1 |
|---|
| 567 | for CO and SiO: |
|---|
| 568 | plotter.set_stacking('i') |
|---|
| 569 | plotter.set_legend(['CO','SiO']) |
|---|
| 570 | plotter.plot() |
|---|
| 571 | plotter.set_legend([r'$^{12}CO$', r'SiO']) |
|---|
| 572 | """ |
|---|
| 573 | self._lmap = mp |
|---|
| 574 | if self._data: self.plot() |
|---|
| 575 | return |
|---|
| 576 | |
|---|
| 577 | def set_title(self, title=None): |
|---|
| 578 | """ |
|---|
| 579 | Set the title of the plot. If multiple panels are plotted, |
|---|
| 580 | multiple titles have to be specified. |
|---|
| 581 | Example: |
|---|
| 582 | # two panels are visible on the plotter |
|---|
| 583 | plotter.set_title(["First Panel","Second Panel"]) |
|---|
| 584 | """ |
|---|
| 585 | self._title = title |
|---|
| 586 | if self._data: self.plot() |
|---|
| 587 | return |
|---|
| 588 | |
|---|
| 589 | def set_ordinate(self, ordinate=None): |
|---|
| 590 | """ |
|---|
| 591 | Set the y-axis label of the plot. If multiple panels are plotted, |
|---|
| 592 | multiple labels have to be specified. |
|---|
| 593 | Example: |
|---|
| 594 | # two panels are visible on the plotter |
|---|
| 595 | plotter.set_ordinate(["First Y-Axis","Second Y-Axis"]) |
|---|
| 596 | """ |
|---|
| 597 | self._ordinate = ordinate |
|---|
| 598 | if self._data: self.plot() |
|---|
| 599 | return |
|---|
| 600 | |
|---|
| 601 | def set_abcissa(self, abcissa=None): |
|---|
| 602 | """ |
|---|
| 603 | Set the x-axis label of the plot. If multiple panels are plotted, |
|---|
| 604 | multiple labels have to be specified. |
|---|
| 605 | Example: |
|---|
| 606 | # two panels are visible on the plotter |
|---|
| 607 | plotter.set_ordinate(["First X-Axis","Second X-Axis"]) |
|---|
| 608 | """ |
|---|
| 609 | self._abcissa = abcissa |
|---|
| 610 | if self._data: self.plot() |
|---|
| 611 | return |
|---|
| 612 | |
|---|
| 613 | def set_colors(self, colormap): |
|---|
| 614 | """ |
|---|
| 615 | Set the colors to be used. The plotter will cycle through |
|---|
| 616 | these colors when lines are overlaid (stacking mode). |
|---|
| 617 | Example: |
|---|
| 618 | plotter.set_colors("red green blue") |
|---|
| 619 | # If for example four lines are overlaid e.g I Q U V |
|---|
| 620 | # 'I' will be 'red', 'Q' will be 'green', U will be 'blue' |
|---|
| 621 | # and 'V' will be 'red' again. |
|---|
| 622 | """ |
|---|
| 623 | if isinstance(colormap,str): |
|---|
| 624 | colormap = colormap.split() |
|---|
| 625 | self._plotter.palette(0,colormap=colormap) |
|---|
| 626 | if self._data: self.plot() |
|---|
| 627 | |
|---|
| 628 | def set_linestyles(self, linestyles): |
|---|
| 629 | """ |
|---|
| 630 | Set the linestyles to be used. The plotter will cycle through |
|---|
| 631 | these linestyles when lines are overlaid (stacking mode) AND |
|---|
| 632 | only one color has been set. |
|---|
| 633 | Parameters: |
|---|
| 634 | linestyles: a list of linestyles to use. |
|---|
| 635 | 'line', 'dashed', 'dotted', 'dashdot', |
|---|
| 636 | 'dashdotdot' and 'dashdashdot' are |
|---|
| 637 | possible |
|---|
| 638 | |
|---|
| 639 | Example: |
|---|
| 640 | plotter.set_colors("black") |
|---|
| 641 | plotter.set_linestyles("line dashed dotted dashdot") |
|---|
| 642 | # If for example four lines are overlaid e.g I Q U V |
|---|
| 643 | # 'I' will be 'solid', 'Q' will be 'dashed', |
|---|
| 644 | # U will be 'dotted' and 'V' will be 'dashdot'. |
|---|
| 645 | """ |
|---|
| 646 | if isinstance(linestyles,str): |
|---|
| 647 | linestyles = linestyles.split() |
|---|
| 648 | self._plotter.palette(color=0,linestyle=0,linestyles=linestyles) |
|---|
| 649 | if self._data: self.plot() |
|---|
| 650 | |
|---|
| 651 | def save(self, filename=None, orientation=None, dpi=None): |
|---|
| 652 | """ |
|---|
| 653 | Save the plot to a file. The know formats are 'png', 'ps', 'eps'. |
|---|
| 654 | Parameters: |
|---|
| 655 | filename: The name of the output file. This is optional |
|---|
| 656 | and autodetects the image format from the file |
|---|
| 657 | suffix. If non filename is specified a file |
|---|
| 658 | called 'yyyymmdd_hhmmss.png' is created in the |
|---|
| 659 | current directory. |
|---|
| 660 | orientation: optional parameter for postscript only (not eps). |
|---|
| 661 | 'landscape', 'portrait' or None (default) are valid. |
|---|
| 662 | If None is choosen for 'ps' output, the plot is |
|---|
| 663 | automatically oriented to fill the page. |
|---|
| 664 | dpi: The dpi of the output non-ps plot |
|---|
| 665 | """ |
|---|
| 666 | self._plotter.save(filename,orientation,dpi) |
|---|
| 667 | return |
|---|
| 668 | |
|---|
| 669 | def set_cursor(self, row=None,beam=None,IF=None,pol=None, refresh=True): |
|---|
| 670 | """ |
|---|
| 671 | Specify a 'cursor' for plotting selected spectra. Time (rows), |
|---|
| 672 | Beam, IF, Polarisation ranges can be specified. |
|---|
| 673 | Parameters: |
|---|
| 674 | Default for all paramaters is to select all available |
|---|
| 675 | row: selects the rows (time stamps) to be plotted, this has |
|---|
| 676 | to be a vector of row indices, e.g. row=[0,2,5] or row=[2] |
|---|
| 677 | beam: select a range of beams |
|---|
| 678 | IF: select a range of IFs |
|---|
| 679 | pol: select Polarisations for plotting these can be by index |
|---|
| 680 | (raw polarisations (default)) or by names any of: |
|---|
| 681 | ["I", "Q", "U", "V"] or |
|---|
| 682 | ["I", "Plinear", "Pangle", "V"] or |
|---|
| 683 | ["XX", "YY", "Real(XY)", "Imag(XY)"] or |
|---|
| 684 | ["RR", "LL"] |
|---|
| 685 | Example: |
|---|
| 686 | plotter.set_mode('pol','time') |
|---|
| 687 | plotter.plot(myscan) # plots all raw polarisations colour stacked |
|---|
| 688 | plotter.set_cursor(pol=["I"]) # plot "I" only for all rows |
|---|
| 689 | # plot "I" only for two time stamps row=0 and row=2 |
|---|
| 690 | plotter.set_cursor(row=[0,2],pol=["I"]) |
|---|
| 691 | |
|---|
| 692 | Note: |
|---|
| 693 | Be careful to select only exisiting polarisations. |
|---|
| 694 | """ |
|---|
| 695 | if not self._data: |
|---|
| 696 | print "Can only set cursor after a first call to plot()" |
|---|
| 697 | return |
|---|
| 698 | |
|---|
| 699 | n = self._data[0].nrow() |
|---|
| 700 | if row is None: |
|---|
| 701 | self._cursor["t"] = range(n) |
|---|
| 702 | else: |
|---|
| 703 | for i in row: |
|---|
| 704 | if i < 0 or i >= n: |
|---|
| 705 | print "Row index '%d' out of range" % i |
|---|
| 706 | return |
|---|
| 707 | self._cursor["t"] = row |
|---|
| 708 | |
|---|
| 709 | n = self._data[0].nbeam() |
|---|
| 710 | if beam is None: |
|---|
| 711 | self._cursor["b"] = range(n) |
|---|
| 712 | else: |
|---|
| 713 | for i in beam: |
|---|
| 714 | if i < 0 or i >= n: |
|---|
| 715 | print "Beam index '%d' out of range" % i |
|---|
| 716 | return |
|---|
| 717 | self._cursor["b"] = beam |
|---|
| 718 | |
|---|
| 719 | n = self._data[0].nif() |
|---|
| 720 | if IF is None: |
|---|
| 721 | self._cursor["i"] = range(n) |
|---|
| 722 | else: |
|---|
| 723 | for i in IF: |
|---|
| 724 | if i < 0 or i >= n: |
|---|
| 725 | print "IF index '%d' out of range" %i |
|---|
| 726 | return |
|---|
| 727 | self._cursor["i"] = IF |
|---|
| 728 | |
|---|
| 729 | n = self._data[0].npol() |
|---|
| 730 | dstokes = {"I":0,"Q":1,"U":2,"V":3} |
|---|
| 731 | dstokes2 = {"I":0,"Plinear":1,"Pangle":2,"V":3} |
|---|
| 732 | draw = {"XX":0, "YY":1,"Real(XY)":2, "Imag(XY)":3} |
|---|
| 733 | dcirc = { "RR":0,"LL":1}#,"Real(RL)":2,"Imag(RL)":3} |
|---|
| 734 | |
|---|
| 735 | if pol is None: |
|---|
| 736 | self._cursor["p"] = range(n) |
|---|
| 737 | self._polmode = ["raw" for i in range(n)] |
|---|
| 738 | else: |
|---|
| 739 | if isinstance(pol,str): |
|---|
| 740 | pol = pol.split() |
|---|
| 741 | polmode = [] |
|---|
| 742 | pols = [] |
|---|
| 743 | for i in pol: |
|---|
| 744 | if isinstance(i,str): |
|---|
| 745 | if draw.has_key(i): |
|---|
| 746 | pols.append(draw.get(i)) |
|---|
| 747 | polmode.append("raw") |
|---|
| 748 | elif dstokes.has_key(i): |
|---|
| 749 | pols.append(dstokes.get(i)) |
|---|
| 750 | polmode.append("stokes") |
|---|
| 751 | elif dstokes2.has_key(i): |
|---|
| 752 | pols.append(dstokes2.get(i)) |
|---|
| 753 | polmode.append("stokes2") |
|---|
| 754 | elif dcirc.has_key(i): |
|---|
| 755 | pols.append(dcirc.get(i)) |
|---|
| 756 | polmode.append("circular") |
|---|
| 757 | else: |
|---|
| 758 | print "Pol type '%s' not valid" %i |
|---|
| 759 | return |
|---|
| 760 | elif 0 > i >= n: |
|---|
| 761 | print "Pol index '%d' out of range" %i |
|---|
| 762 | return |
|---|
| 763 | else: |
|---|
| 764 | pols.append(i) |
|---|
| 765 | polmode.append("raw") |
|---|
| 766 | self._cursor["p"] = pols |
|---|
| 767 | self._polmode = polmode |
|---|
| 768 | if self._data and refresh: self.plot() |
|---|
| 769 | |
|---|
| 770 | def set_mask(self, mask=None, pol=None): |
|---|
| 771 | """ |
|---|
| 772 | Set a plotting mask for a specific polarization. |
|---|
| 773 | This is useful for masking out "noise" Pangle outside a source. |
|---|
| 774 | Parameters: |
|---|
| 775 | mask: a mask from scantable.create_mask |
|---|
| 776 | pol: the polarisation to apply the mask to, e.g |
|---|
| 777 | "Pangle" or "XX" etc. |
|---|
| 778 | Example: |
|---|
| 779 | """ |
|---|
| 780 | if not self._data: |
|---|
| 781 | print "Can only set cursor after a first call to plot()" |
|---|
| 782 | return |
|---|
| 783 | if isinstance(mask, array): |
|---|
| 784 | self._usermask = mask |
|---|
| 785 | if isinstance(mask, list): |
|---|
| 786 | self._usermask = array(mask) |
|---|
| 787 | if mask is None and pol is None: |
|---|
| 788 | self._usermask = None |
|---|
| 789 | self._usermaskspectra = None |
|---|
| 790 | |
|---|
| 791 | dstokes = {"I":0,"Q":1,"U":2,"V":3} |
|---|
| 792 | dstokes2 = {"I":0,"Plinear":1,"Pangle":2,"V":3} |
|---|
| 793 | draw = {"XX":0, "YY":1,"Real(XY)":2, "Imag(XY)":3} |
|---|
| 794 | dcirc = { "RR":0,"LL":1}#,"Real(RL)":2,"Imag(RL)":3} |
|---|
| 795 | if isinstance(pol, str): |
|---|
| 796 | pol = pol.split() |
|---|
| 797 | if isinstance(pol, list): |
|---|
| 798 | if isinstance(pol[0], str): |
|---|
| 799 | pass |
|---|
| 800 | else: |
|---|
| 801 | cpos = self._cursor[self._stacking] |
|---|
| 802 | self._usermaskspectra =filter(lambda i: filter(lambda j: j==i ,cpos),pol) |
|---|
| 803 | else: |
|---|
| 804 | return |
|---|
| 805 | self.plot() |
|---|
| 806 | |
|---|
| 807 | def _get_pollabel(self, scan, polmode): |
|---|
| 808 | tlab = "" |
|---|
| 809 | if polmode == "stokes": |
|---|
| 810 | tlab = scan._getpolarizationlabel(0,1,0) |
|---|
| 811 | elif polmode == "stokes2": |
|---|
| 812 | tlab = scan._getpolarizationlabel(0,1,1) |
|---|
| 813 | elif polmode == "circular": |
|---|
| 814 | tlab = scan._getpolarizationlabel(0,0,0) |
|---|
| 815 | else: |
|---|
| 816 | tlab = scan._getpolarizationlabel(1,0,0) |
|---|
| 817 | return tlab |
|---|
| 818 | |
|---|
| 819 | def _slice_indeces(self, data): |
|---|
| 820 | mn = self._minmaxx[0] |
|---|
| 821 | mx = self._minmaxx[1] |
|---|
| 822 | asc = data[0] < data[-1] |
|---|
| 823 | start=0 |
|---|
| 824 | end = len(data)-1 |
|---|
| 825 | inc = 1 |
|---|
| 826 | if not asc: |
|---|
| 827 | start = len(data)-1 |
|---|
| 828 | end = 0 |
|---|
| 829 | inc = -1 |
|---|
| 830 | # find min index |
|---|
| 831 | while data[start] < mn: |
|---|
| 832 | start+= inc |
|---|
| 833 | # find max index |
|---|
| 834 | while data[end] > mx: |
|---|
| 835 | end-=inc |
|---|
| 836 | end +=1 |
|---|
| 837 | if start > end: |
|---|
| 838 | return end,start |
|---|
| 839 | return start,end |
|---|
| 840 | |
|---|
| 841 | def _reset(self): |
|---|
| 842 | self._usermask = None |
|---|
| 843 | self._usermaskspectra = None |
|---|
| 844 | self.set_cursor(refresh=False) |
|---|
