[753] | 1 | from asap import rcParams, print_log |
---|
[709] | 2 | from numarray import logical_and |
---|
[203] | 3 | |
---|
| 4 | class asapplotter: |
---|
[226] | 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 | """ |
---|
[734] | 13 | def __init__(self, visible=None): |
---|
| 14 | self._visible = rcParams['plotter.gui'] |
---|
| 15 | if visible is not None: |
---|
| 16 | self._visible = visible |
---|
[710] | 17 | self._plotter = self._newplotter() |
---|
| 18 | |
---|
[920] | 19 | |
---|
[554] | 20 | self._panelling = None |
---|
| 21 | self._stacking = None |
---|
| 22 | self.set_panelling() |
---|
| 23 | self.set_stacking() |
---|
[377] | 24 | self._rows = None |
---|
| 25 | self._cols = None |
---|
[203] | 26 | self._autoplot = False |
---|
[525] | 27 | self._minmaxx = None |
---|
| 28 | self._minmaxy = None |
---|
[710] | 29 | self._datamask = None |
---|
[203] | 30 | self._data = None |
---|
[607] | 31 | self._lmap = None |
---|
[226] | 32 | self._title = None |
---|
[257] | 33 | self._ordinate = None |
---|
| 34 | self._abcissa = None |
---|
[709] | 35 | self._abcunit = None |
---|
[920] | 36 | self._usermask = [] |
---|
| 37 | self._maskselection = None |
---|
| 38 | from asap._asap import selector |
---|
| 39 | self._selection = selector() |
---|
[203] | 40 | |
---|
[920] | 41 | def _translate(self, instr): |
---|
| 42 | keys = "s b i p t".split() |
---|
| 43 | if isinstance(instr, str): |
---|
| 44 | for key in keys: |
---|
| 45 | if instr.lower().startswith(key): |
---|
| 46 | return key |
---|
| 47 | return None |
---|
| 48 | |
---|
[710] | 49 | def _newplotter(self): |
---|
| 50 | if self._visible: |
---|
| 51 | from asap.asaplotgui import asaplotgui as asaplot |
---|
| 52 | else: |
---|
| 53 | from asap.asaplot import asaplot |
---|
| 54 | return asaplot() |
---|
| 55 | |
---|
| 56 | |
---|
[920] | 57 | def plot(self, scan): |
---|
[203] | 58 | """ |
---|
[920] | 59 | Plot a scantable. |
---|
[203] | 60 | Parameters: |
---|
[920] | 61 | scan: a scantable |
---|
[203] | 62 | Note: |
---|
[920] | 63 | If a scantable was specified in a previous call |
---|
[203] | 64 | to plot, no argument has to be given to 'replot' |
---|
[920] | 65 | NO checking is done that the abcissas of the scantable |
---|
[203] | 66 | are consistent e.g. all 'channel' or all 'velocity' etc. |
---|
| 67 | """ |
---|
[710] | 68 | if self._plotter.is_dead: |
---|
| 69 | self._plotter = self._newplotter() |
---|
[600] | 70 | self._plotter.hold() |
---|
[203] | 71 | self._plotter.clear() |
---|
[920] | 72 | from asap import scantable |
---|
| 73 | if isinstance(scan, scantable): |
---|
[709] | 74 | if self._data is not None: |
---|
[920] | 75 | if scan != self._data: |
---|
| 76 | self._data = scan |
---|
[710] | 77 | # reset |
---|
| 78 | self._reset() |
---|
[525] | 79 | else: |
---|
[920] | 80 | self._data = scan |
---|
[710] | 81 | self._reset() |
---|
[709] | 82 | # ranges become invalid when unit changes |
---|
[920] | 83 | if self._abcunit != self._data.get_unit(): |
---|
[709] | 84 | self._minmaxx = None |
---|
| 85 | self._minmaxy = None |
---|
[920] | 86 | self._abcunit = self._data.get_unit() |
---|
[710] | 87 | self._datamask = None |
---|
[920] | 88 | self._plot(self._data) |
---|
[709] | 89 | if self._minmaxy is not None: |
---|
| 90 | self._plotter.set_limits(ylim=self._minmaxy) |
---|
[203] | 91 | self._plotter.release() |
---|
[753] | 92 | print_log() |
---|
[203] | 93 | return |
---|
| 94 | |
---|
[226] | 95 | def set_mode(self, stacking=None, panelling=None): |
---|
[203] | 96 | """ |
---|
[377] | 97 | Set the plots look and feel, i.e. what you want to see on the plot. |
---|
[203] | 98 | Parameters: |
---|
| 99 | stacking: tell the plotter which variable to plot |
---|
[710] | 100 | as line color overlays (default 'pol') |
---|
[203] | 101 | panelling: tell the plotter which variable to plot |
---|
| 102 | across multiple panels (default 'scan' |
---|
| 103 | Note: |
---|
| 104 | Valid modes are: |
---|
| 105 | 'beam' 'Beam' 'b': Beams |
---|
| 106 | 'if' 'IF' 'i': IFs |
---|
| 107 | 'pol' 'Pol' 'p': Polarisations |
---|
| 108 | 'scan' 'Scan' 's': Scans |
---|
| 109 | 'time' 'Time' 't': Times |
---|
| 110 | """ |
---|
[753] | 111 | msg = "Invalid mode" |
---|
| 112 | if not self.set_panelling(panelling) or \ |
---|
| 113 | not self.set_stacking(stacking): |
---|
| 114 | if rcParams['verbose']: |
---|
| 115 | print msg |
---|
| 116 | return |
---|
| 117 | else: |
---|
| 118 | raise TypeError(msg) |
---|
[920] | 119 | if self._data: self.plot(self._data) |
---|
[203] | 120 | return |
---|
| 121 | |
---|
[554] | 122 | def set_panelling(self, what=None): |
---|
| 123 | mode = what |
---|
| 124 | if mode is None: |
---|
| 125 | mode = rcParams['plotter.panelling'] |
---|
| 126 | md = self._translate(mode) |
---|
[203] | 127 | if md: |
---|
[554] | 128 | self._panelling = md |
---|
[226] | 129 | self._title = None |
---|
[203] | 130 | return True |
---|
| 131 | return False |
---|
| 132 | |
---|
[377] | 133 | def set_layout(self,rows=None,cols=None): |
---|
| 134 | """ |
---|
| 135 | Set the multi-panel layout, i.e. how many rows and columns plots |
---|
| 136 | are visible. |
---|
| 137 | Parameters: |
---|
| 138 | rows: The number of rows of plots |
---|
| 139 | cols: The number of columns of plots |
---|
| 140 | Note: |
---|
| 141 | If no argument is given, the potter reverts to its auto-plot |
---|
| 142 | behaviour. |
---|
| 143 | """ |
---|
| 144 | self._rows = rows |
---|
| 145 | self._cols = cols |
---|
[920] | 146 | if self._data: self.plot(self._data) |
---|
[377] | 147 | return |
---|
| 148 | |
---|
[709] | 149 | def set_stacking(self, what=None): |
---|
[554] | 150 | mode = what |
---|
[709] | 151 | if mode is None: |
---|
| 152 | mode = rcParams['plotter.stacking'] |
---|
[554] | 153 | md = self._translate(mode) |
---|
[203] | 154 | if md: |
---|
| 155 | self._stacking = md |
---|
[226] | 156 | self._lmap = None |
---|
[203] | 157 | return True |
---|
| 158 | return False |
---|
| 159 | |
---|
[525] | 160 | def set_range(self,xstart=None,xend=None,ystart=None,yend=None): |
---|
[203] | 161 | """ |
---|
| 162 | Set the range of interest on the abcissa of the plot |
---|
| 163 | Parameters: |
---|
[525] | 164 | [x,y]start,[x,y]end: The start and end points of the 'zoom' window |
---|
[203] | 165 | Note: |
---|
| 166 | These become non-sensical when the unit changes. |
---|
| 167 | use plotter.set_range() without parameters to reset |
---|
| 168 | |
---|
| 169 | """ |
---|
[525] | 170 | if xstart is None and xend is None: |
---|
| 171 | self._minmaxx = None |
---|
[600] | 172 | else: |
---|
| 173 | self._minmaxx = [xstart,xend] |
---|
[525] | 174 | if ystart is None and yend is None: |
---|
| 175 | self._minmaxy = None |
---|
[600] | 176 | else: |
---|
[709] | 177 | self._minmaxy = [ystart,yend] |
---|
[920] | 178 | if self._data: self.plot(self._data) |
---|
[203] | 179 | return |
---|
[709] | 180 | |
---|
[257] | 181 | def set_legend(self, mp=None): |
---|
[203] | 182 | """ |
---|
| 183 | Specify a mapping for the legend instead of using the default |
---|
| 184 | indices: |
---|
| 185 | Parameters: |
---|
| 186 | mp: a list of 'strings'. This should have the same length |
---|
| 187 | as the number of elements on the legend and then maps |
---|
[710] | 188 | to the indeces in order. It is possible to uses latex |
---|
| 189 | math expression. These have to be enclosed in r'', e.g. r'$x^{2}$' |
---|
[203] | 190 | |
---|
| 191 | Example: |
---|
[485] | 192 | If the data has two IFs/rest frequencies with index 0 and 1 |
---|
[203] | 193 | for CO and SiO: |
---|
| 194 | plotter.set_stacking('i') |
---|
[710] | 195 | plotter.set_legend(['CO','SiO']) |
---|
[203] | 196 | plotter.plot() |
---|
[710] | 197 | plotter.set_legend([r'$^{12}CO$', r'SiO']) |
---|
[203] | 198 | """ |
---|
| 199 | self._lmap = mp |
---|
[920] | 200 | if self._data: self.plot(self._data) |
---|
[226] | 201 | return |
---|
| 202 | |
---|
| 203 | def set_title(self, title=None): |
---|
[710] | 204 | """ |
---|
| 205 | Set the title of the plot. If multiple panels are plotted, |
---|
| 206 | multiple titles have to be specified. |
---|
| 207 | Example: |
---|
| 208 | # two panels are visible on the plotter |
---|
| 209 | plotter.set_title(["First Panel","Second Panel"]) |
---|
| 210 | """ |
---|
[226] | 211 | self._title = title |
---|
[920] | 212 | if self._data: self.plot(self._data) |
---|
[226] | 213 | return |
---|
| 214 | |
---|
[257] | 215 | def set_ordinate(self, ordinate=None): |
---|
[710] | 216 | """ |
---|
| 217 | Set the y-axis label of the plot. If multiple panels are plotted, |
---|
| 218 | multiple labels have to be specified. |
---|
| 219 | Example: |
---|
| 220 | # two panels are visible on the plotter |
---|
| 221 | plotter.set_ordinate(["First Y-Axis","Second Y-Axis"]) |
---|
| 222 | """ |
---|
[257] | 223 | self._ordinate = ordinate |
---|
[920] | 224 | if self._data: self.plot(self._data) |
---|
[257] | 225 | return |
---|
| 226 | |
---|
| 227 | def set_abcissa(self, abcissa=None): |
---|
[710] | 228 | """ |
---|
| 229 | Set the x-axis label of the plot. If multiple panels are plotted, |
---|
| 230 | multiple labels have to be specified. |
---|
| 231 | Example: |
---|
| 232 | # two panels are visible on the plotter |
---|
| 233 | plotter.set_ordinate(["First X-Axis","Second X-Axis"]) |
---|
| 234 | """ |
---|
[257] | 235 | self._abcissa = abcissa |
---|
[920] | 236 | if self._data: self.plot(self._data) |
---|
[257] | 237 | return |
---|
| 238 | |
---|
[710] | 239 | def set_colors(self, colormap): |
---|
[377] | 240 | """ |
---|
[710] | 241 | Set the colors to be used. The plotter will cycle through |
---|
| 242 | these colors when lines are overlaid (stacking mode). |
---|
| 243 | Example: |
---|
| 244 | plotter.set_colors("red green blue") |
---|
| 245 | # If for example four lines are overlaid e.g I Q U V |
---|
| 246 | # 'I' will be 'red', 'Q' will be 'green', U will be 'blue' |
---|
| 247 | # and 'V' will be 'red' again. |
---|
| 248 | """ |
---|
| 249 | if isinstance(colormap,str): |
---|
| 250 | colormap = colormap.split() |
---|
| 251 | self._plotter.palette(0,colormap=colormap) |
---|
[920] | 252 | if self._data: self.plot(self._data) |
---|
[710] | 253 | |
---|
| 254 | def set_linestyles(self, linestyles): |
---|
| 255 | """ |
---|
[734] | 256 | Set the linestyles to be used. The plotter will cycle through |
---|
| 257 | these linestyles when lines are overlaid (stacking mode) AND |
---|
| 258 | only one color has been set. |
---|
[710] | 259 | Parameters: |
---|
| 260 | linestyles: a list of linestyles to use. |
---|
| 261 | 'line', 'dashed', 'dotted', 'dashdot', |
---|
| 262 | 'dashdotdot' and 'dashdashdot' are |
---|
| 263 | possible |
---|
| 264 | |
---|
| 265 | Example: |
---|
| 266 | plotter.set_colors("black") |
---|
| 267 | plotter.set_linestyles("line dashed dotted dashdot") |
---|
| 268 | # If for example four lines are overlaid e.g I Q U V |
---|
| 269 | # 'I' will be 'solid', 'Q' will be 'dashed', |
---|
| 270 | # U will be 'dotted' and 'V' will be 'dashdot'. |
---|
| 271 | """ |
---|
| 272 | if isinstance(linestyles,str): |
---|
| 273 | linestyles = linestyles.split() |
---|
| 274 | self._plotter.palette(color=0,linestyle=0,linestyles=linestyles) |
---|
[920] | 275 | if self._data: self.plot(self._data) |
---|
[710] | 276 | |
---|
| 277 | def save(self, filename=None, orientation=None, dpi=None): |
---|
| 278 | """ |
---|
[377] | 279 | Save the plot to a file. The know formats are 'png', 'ps', 'eps'. |
---|
| 280 | Parameters: |
---|
| 281 | filename: The name of the output file. This is optional |
---|
| 282 | and autodetects the image format from the file |
---|
| 283 | suffix. If non filename is specified a file |
---|
| 284 | called 'yyyymmdd_hhmmss.png' is created in the |
---|
| 285 | current directory. |
---|
[709] | 286 | orientation: optional parameter for postscript only (not eps). |
---|
| 287 | 'landscape', 'portrait' or None (default) are valid. |
---|
| 288 | If None is choosen for 'ps' output, the plot is |
---|
| 289 | automatically oriented to fill the page. |
---|
[710] | 290 | dpi: The dpi of the output non-ps plot |
---|
[377] | 291 | """ |
---|
[709] | 292 | self._plotter.save(filename,orientation,dpi) |
---|
[377] | 293 | return |
---|
[709] | 294 | |
---|
[257] | 295 | |
---|
[920] | 296 | def set_mask(self, mask=None, selection=None): |
---|
[525] | 297 | """ |
---|
[734] | 298 | Set a plotting mask for a specific polarization. |
---|
| 299 | This is useful for masking out "noise" Pangle outside a source. |
---|
| 300 | Parameters: |
---|
[920] | 301 | mask: a mask from scantable.create_mask |
---|
| 302 | selection: the spectra to apply the mask to. |
---|
[734] | 303 | Example: |
---|
[920] | 304 | select = selector() |
---|
| 305 | select.setpolstrings("Pangle") |
---|
| 306 | plotter.set_mask(mymask, select) |
---|
[734] | 307 | """ |
---|
[710] | 308 | if not self._data: |
---|
[920] | 309 | msg = "Can only set mask after a first call to plot()" |
---|
[753] | 310 | if rcParams['verbose']: |
---|
| 311 | print msg |
---|
[762] | 312 | return |
---|
[753] | 313 | else: |
---|
[762] | 314 | raise RuntimeError(msg) |
---|
[920] | 315 | if len(mask): |
---|
| 316 | if isinstance(mask, list) or isinstance(mask, tuple): |
---|
| 317 | self._usermask = array(mask) |
---|
[710] | 318 | else: |
---|
[920] | 319 | self._usermask = mask |
---|
| 320 | if mask is None and selection is None: |
---|
| 321 | self._usermask = [] |
---|
| 322 | self._maskselection = None |
---|
| 323 | from asap._asap import selector |
---|
| 324 | if isinstance(selection, selector): |
---|
| 325 | self._maskselection = {'b': selection._getbeams(), |
---|
| 326 | 's': selection._getscans(), |
---|
| 327 | 'i': selection._getifs(), |
---|
| 328 | 'p': selection._getpols(), |
---|
| 329 | 't': [] } |
---|
[710] | 330 | else: |
---|
[920] | 331 | self._maskselection = None |
---|
| 332 | self.plot(self._data) |
---|
[710] | 333 | |
---|
[709] | 334 | def _slice_indeces(self, data): |
---|
| 335 | mn = self._minmaxx[0] |
---|
| 336 | mx = self._minmaxx[1] |
---|
| 337 | asc = data[0] < data[-1] |
---|
| 338 | start=0 |
---|
| 339 | end = len(data)-1 |
---|
| 340 | inc = 1 |
---|
| 341 | if not asc: |
---|
| 342 | start = len(data)-1 |
---|
| 343 | end = 0 |
---|
| 344 | inc = -1 |
---|
| 345 | # find min index |
---|
| 346 | while data[start] < mn: |
---|
| 347 | start+= inc |
---|
| 348 | # find max index |
---|
| 349 | while data[end] > mx: |
---|
| 350 | end-=inc |
---|
| 351 | end +=1 |
---|
| 352 | if start > end: |
---|
| 353 | return end,start |
---|
| 354 | return start,end |
---|
| 355 | |
---|
[710] | 356 | def _reset(self): |
---|
[920] | 357 | self._usermask = [] |
---|
[710] | 358 | self._usermaskspectra = None |
---|
[920] | 359 | self.set_selection(None, False) |
---|
| 360 | |
---|
| 361 | def _plot(self, scan): |
---|
| 362 | savesel = scan._getselection() |
---|
| 363 | scan._setselection(self._selection) |
---|
| 364 | d = {'b': scan.getbeam, 's': scan.getscan, |
---|
| 365 | 'i': scan.getif, 'p': scan.getpol, 't': scan._gettime } |
---|
| 366 | |
---|
| 367 | polmodes = dict(zip(self._selection._getpols(),self._selection._getpoltypes())) |
---|
| 368 | n,nstack = self._get_selected_n(scan) |
---|
| 369 | maxpanel, maxstack = 9,4 |
---|
| 370 | if n > maxpanel or nstack > maxstack: |
---|
| 371 | from asap import asaplog |
---|
| 372 | msg ="Scan to be plotted contains more than %d selections.\n" \ |
---|
| 373 | "Selecting first %d selections..." % (maxpanel,maxpanel) |
---|
| 374 | asaplog.push(msg) |
---|
| 375 | print_log() |
---|
| 376 | n = min(n,maxpanel) |
---|
| 377 | nstack = min(n,maxstack) |
---|
| 378 | |
---|
| 379 | if n > 1: |
---|
| 380 | ganged = rcParams['plotter.ganged'] |
---|
| 381 | if self._rows and self._cols: |
---|
| 382 | n = min(n,self._rows*self._cols) |
---|
| 383 | self._plotter.set_panels(rows=self._rows,cols=self._cols, |
---|
| 384 | nplots=n,ganged=ganged) |
---|
| 385 | else: |
---|
| 386 | self._plotter.set_panels(rows=n,cols=0,nplots=n,ganged=ganged) |
---|
| 387 | else: |
---|
| 388 | self._plotter.set_panels() |
---|
| 389 | r=0 |
---|
| 390 | nr = scan.nrow() |
---|
| 391 | a0,b0 = -1,-1 |
---|
| 392 | allxlim = [] |
---|
| 393 | newpanel=True |
---|
| 394 | panelcount,stackcount = 0,0 |
---|
| 395 | while r < nr: |
---|
| 396 | a = d[self._panelling](r) |
---|
| 397 | b = d[self._stacking](r) |
---|
| 398 | # print r |
---|
| 399 | # print " a: ",a,a0,panelcount,n |
---|
| 400 | # print " b: ",b,b0,stackcount,nstack |
---|
| 401 | if a > a0 and panelcount < n: |
---|
| 402 | if n > 1: |
---|
| 403 | self._plotter.subplot(panelcount) |
---|
| 404 | #pindex += 1 |
---|
| 405 | self._plotter.palette(0) |
---|
| 406 | #title |
---|
| 407 | xlab = self._abcissa and self._abcissa[panelcount] \ |
---|
| 408 | or scan._getabcissalabel() |
---|
| 409 | ylab = self._ordinate and self._ordinate[panelcount] \ |
---|
| 410 | or scan._get_ordinate_label() |
---|
| 411 | self._plotter.set_axes('xlabel',xlab) |
---|
| 412 | self._plotter.set_axes('ylabel',ylab) |
---|
| 413 | lbl = self._get_label(scan, r, self._panelling, self._title) |
---|
| 414 | if isinstance(lbl, list) or isinstance(lbl, tuple): |
---|
| 415 | if 0 <= panelcount < len(lbl): |
---|
| 416 | lbl = lbl[panelcount] |
---|
| 417 | else: |
---|
| 418 | # get default label |
---|
| 419 | lbl = self._get_label(scan, r, self._panelling, None) |
---|
| 420 | self._plotter.set_axes('title',lbl) |
---|
| 421 | newpanel = True |
---|
| 422 | stackcount =0 |
---|
| 423 | panelcount += 1 |
---|
| 424 | if (b > b0 or newpanel) and stackcount < nstack: |
---|
| 425 | y = [] |
---|
| 426 | if len(polmodes): |
---|
| 427 | y = scan._getspectrum(r, polmodes[scan.getpol(r)]) |
---|
| 428 | else: |
---|
| 429 | y = scan._getspectrum(r) |
---|
| 430 | m = scan._getmask(r) |
---|
| 431 | if self._maskselection and len(self._usermask) == len(m): |
---|
| 432 | if d[self._stacking](r) in self._maskselection[self._stacking]: |
---|
| 433 | print "debug" |
---|
| 434 | m = logical_and(m, self._usermask) |
---|
| 435 | x = scan._getabcissa(r) |
---|
| 436 | if self._minmaxx is not None: |
---|
| 437 | s,e = self._slice_indeces(x) |
---|
| 438 | x = x[s:e] |
---|
| 439 | y = y[s:e] |
---|
| 440 | m = m[s:e] |
---|
| 441 | if len(x) > 1024 and True:#rcParams['plotter.decimate']: |
---|
| 442 | fac = len(x)/1024 |
---|
| 443 | x = x[::fac] |
---|
| 444 | m = m[::fac] |
---|
| 445 | y = y[::fac] |
---|
| 446 | llbl = self._get_label(scan, r, self._stacking, self._lmap) |
---|
| 447 | if isinstance(llbl, list) or isinstance(llbl, tuple): |
---|
| 448 | if 0 <= stackcount < len(llbl): |
---|
| 449 | # use user label |
---|
| 450 | llbl = llbl[stackcount] |
---|
| 451 | else: |
---|
| 452 | # get default label |
---|
| 453 | llbl = self._get_label(scan, r, self._stacking, None) |
---|
| 454 | self._plotter.set_line(label=llbl) |
---|
| 455 | self._plotter.plot(x,y,m) |
---|
| 456 | xlim= self._minmaxx or [min(x),max(x)] |
---|
| 457 | allxlim += xlim |
---|
| 458 | stackcount += 1 |
---|
| 459 | # last in colour stack -> autoscale x |
---|
| 460 | if stackcount == nstack: |
---|
| 461 | allxlim.sort() |
---|
| 462 | self._plotter.axes.set_xlim([allxlim[0],allxlim[-1]]) |
---|
| 463 | # clear |
---|
| 464 | allxlim =[] |
---|
| 465 | |
---|
| 466 | newpanel = False |
---|
| 467 | a0=a |
---|
| 468 | b0=b |
---|
| 469 | # ignore following rows |
---|
| 470 | if (panelcount == n) and (stackcount == nstack): |
---|
| 471 | pass#break |
---|
| 472 | r+=1 # next row |
---|
| 473 | |
---|
| 474 | scan._setselection(savesel) |
---|
| 475 | |
---|
| 476 | def set_selection(self, selection=None, refresh=True): |
---|
| 477 | from asap._asap import selector |
---|
| 478 | self._selection = selection or selector() |
---|
| 479 | d0 = {'s': 'SCANNO', 'b': 'BEAMNO', 'i':'IFNO', |
---|
| 480 | 'p': 'POLNO', 'c': 'CYCLENO', 't' : 'TIME' } |
---|
| 481 | order = [d0[self._panelling],d0[self._stacking]] |
---|
| 482 | self._selection._setorder(order) |
---|
| 483 | if self._data and refresh: self.plot(self._data) |
---|
| 484 | |
---|
| 485 | def _get_selected_n(self, scan): |
---|
| 486 | d1 = {'b': scan.nbeam, 's': scan.nscan, |
---|
| 487 | 'i': scan.nif, 'p': scan.npol, 't': scan.ncycle } |
---|
| 488 | d2 = { 'b': len(self._selection._getbeams()), |
---|
| 489 | 's': len(self._selection._getscans()), |
---|
| 490 | 'i': len(self._selection._getifs()), |
---|
| 491 | 'p': len(self._selection._getpols()), |
---|
| 492 | 't': len(self._selection._getcycles()) } |
---|
| 493 | n = d2[self._panelling] or d1[self._panelling]() |
---|
| 494 | nstack = d2[self._stacking] or d1[self._stacking]() |
---|
| 495 | return n,nstack |
---|
| 496 | |
---|
| 497 | def _get_label(self, scan, row, mode, userlabel=None): |
---|
| 498 | pms = dict(zip(self._selection._getpols(),self._selection._getpoltypes())) |
---|
| 499 | if len(pms): |
---|
| 500 | poleval = scan._getpollabel(scan.getpol(row),pms[scan.getpol(row)]) |
---|
| 501 | else: |
---|
| 502 | poleval = scan._getpollabel(scan.getpol(row),scan.poltype()) |
---|
| 503 | d = {'b': "Beam "+str(scan.getbeam(row)), |
---|
| 504 | 's': scan._getsourcename(row), |
---|
| 505 | 'i': "IF"+str(scan.getif(row)), |
---|
| 506 | 'p': scan.poltype().capitalize()+" "+poleval, |
---|
| 507 | 't': scan._gettime(row) } |
---|
| 508 | return userlabel or d[mode] |
---|