| 1 | from asap import rcParams, print_log |
|---|
| 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 | |
|---|
| 20 | self._panelling = None |
|---|
| 21 | self._stacking = None |
|---|
| 22 | self.set_panelling() |
|---|
| 23 | self.set_stacking() |
|---|
| 24 | self._rows = None |
|---|
| 25 | self._cols = None |
|---|
| 26 | self._autoplot = False |
|---|
| 27 | self._minmaxx = None |
|---|
| 28 | self._minmaxy = None |
|---|
| 29 | self._datamask = None |
|---|
| 30 | self._data = None |
|---|
| 31 | self._lmap = None |
|---|
| 32 | self._title = None |
|---|
| 33 | self._ordinate = None |
|---|
| 34 | self._abcissa = None |
|---|
| 35 | self._abcunit = None |
|---|
| 36 | self._usermask = [] |
|---|
| 37 | self._maskselection = None |
|---|
| 38 | from asap._asap import selector |
|---|
| 39 | self._selection = selector() |
|---|
| 40 | |
|---|
| 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 | |
|---|
| 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 | |
|---|
| 57 | def plot(self, scan=None): |
|---|
| 58 | """ |
|---|
| 59 | Plot a scantable. |
|---|
| 60 | Parameters: |
|---|
| 61 | scan: a scantable |
|---|
| 62 | Note: |
|---|
| 63 | If a scantable 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 scantable |
|---|
| 66 | are consistent e.g. all 'channel' or all 'velocity' etc. |
|---|
| 67 | """ |
|---|
| 68 | if self._plotter.is_dead: |
|---|
| 69 | self._plotter = self._newplotter() |
|---|
| 70 | self._plotter.hold() |
|---|
| 71 | self._plotter.clear() |
|---|
| 72 | from asap import scantable |
|---|
| 73 | if not self._data and not scan: |
|---|
| 74 | print "please provide a scantable to plot" |
|---|
| 75 | if isinstance(scan, scantable): |
|---|
| 76 | if self._data is not None: |
|---|
| 77 | if scan != self._data: |
|---|
| 78 | self._data = scan |
|---|
| 79 | # reset |
|---|
| 80 | self._reset() |
|---|
| 81 | else: |
|---|
| 82 | self._data = scan |
|---|
| 83 | self._reset() |
|---|
| 84 | # ranges become invalid when unit changes |
|---|
| 85 | if self._abcunit and self._abcunit != self._data.get_unit(): |
|---|
| 86 | self._minmaxx = None |
|---|
| 87 | self._minmaxy = None |
|---|
| 88 | self._abcunit = self._data.get_unit() |
|---|
| 89 | self._datamask = None |
|---|
| 90 | self._plot(self._data) |
|---|
| 91 | if self._minmaxy is not None: |
|---|
| 92 | print "setting limits" |
|---|
| 93 | self._plotter.set_limits(ylim=self._minmaxy) |
|---|
| 94 | self._plotter.release() |
|---|
| 95 | print_log() |
|---|
| 96 | return |
|---|
| 97 | |
|---|
| 98 | def set_mode(self, stacking=None, panelling=None): |
|---|
| 99 | """ |
|---|
| 100 | Set the plots look and feel, i.e. what you want to see on the plot. |
|---|
| 101 | Parameters: |
|---|
| 102 | stacking: tell the plotter which variable to plot |
|---|
| 103 | as line color overlays (default 'pol') |
|---|
| 104 | panelling: tell the plotter which variable to plot |
|---|
| 105 | across multiple panels (default 'scan' |
|---|
| 106 | Note: |
|---|
| 107 | Valid modes are: |
|---|
| 108 | 'beam' 'Beam' 'b': Beams |
|---|
| 109 | 'if' 'IF' 'i': IFs |
|---|
| 110 | 'pol' 'Pol' 'p': Polarisations |
|---|
| 111 | 'scan' 'Scan' 's': Scans |
|---|
| 112 | 'time' 'Time' 't': Times |
|---|
| 113 | """ |
|---|
| 114 | msg = "Invalid mode" |
|---|
| 115 | if not self.set_panelling(panelling) or \ |
|---|
| 116 | not self.set_stacking(stacking): |
|---|
| 117 | if rcParams['verbose']: |
|---|
| 118 | print msg |
|---|
| 119 | return |
|---|
| 120 | else: |
|---|
| 121 | raise TypeError(msg) |
|---|
| 122 | if self._data: self.plot(self._data) |
|---|
| 123 | return |
|---|
| 124 | |
|---|
| 125 | def set_panelling(self, what=None): |
|---|
| 126 | mode = what |
|---|
| 127 | if mode is None: |
|---|
| 128 | mode = rcParams['plotter.panelling'] |
|---|
| 129 | md = self._translate(mode) |
|---|
| 130 | if md: |
|---|
| 131 | self._panelling = md |
|---|
| 132 | self._title = None |
|---|
| 133 | return True |
|---|
| 134 | return False |
|---|
| 135 | |
|---|
| 136 | def set_layout(self,rows=None,cols=None): |
|---|
| 137 | """ |
|---|
| 138 | Set the multi-panel layout, i.e. how many rows and columns plots |
|---|
| 139 | are visible. |
|---|
| 140 | Parameters: |
|---|
| 141 | rows: The number of rows of plots |
|---|
| 142 | cols: The number of columns of plots |
|---|
| 143 | Note: |
|---|
| 144 | If no argument is given, the potter reverts to its auto-plot |
|---|
| 145 | behaviour. |
|---|
| 146 | """ |
|---|
| 147 | self._rows = rows |
|---|
| 148 | self._cols = cols |
|---|
| 149 | if self._data: self.plot(self._data) |
|---|
| 150 | return |
|---|
| 151 | |
|---|
| 152 | def set_stacking(self, what=None): |
|---|
| 153 | mode = what |
|---|
| 154 | if mode is None: |
|---|
| 155 | mode = rcParams['plotter.stacking'] |
|---|
| 156 | md = self._translate(mode) |
|---|
| 157 | if md: |
|---|
| 158 | self._stacking = md |
|---|
| 159 | self._lmap = None |
|---|
| 160 | return True |
|---|
| 161 | return False |
|---|
| 162 | |
|---|
| 163 | def set_range(self,xstart=None,xend=None,ystart=None,yend=None): |
|---|
| 164 | """ |
|---|
| 165 | Set the range of interest on the abcissa of the plot |
|---|
| 166 | Parameters: |
|---|
| 167 | [x,y]start,[x,y]end: The start and end points of the 'zoom' window |
|---|
| 168 | Note: |
|---|
| 169 | These become non-sensical when the unit changes. |
|---|
| 170 | use plotter.set_range() without parameters to reset |
|---|
| 171 | |
|---|
| 172 | """ |
|---|
| 173 | if xstart is None and xend is None: |
|---|
| 174 | self._minmaxx = None |
|---|
| 175 | else: |
|---|
| 176 | self._minmaxx = [xstart,xend] |
|---|
| 177 | if ystart is None and yend is None: |
|---|
| 178 | self._minmaxy = None |
|---|
| 179 | else: |
|---|
| 180 | self._minmaxy = [ystart,yend] |
|---|
| 181 | if self._data: self.plot(self._data) |
|---|
| 182 | return |
|---|
| 183 | |
|---|
| 184 | def set_legend(self, mp=None): |
|---|
| 185 | """ |
|---|
| 186 | Specify a mapping for the legend instead of using the default |
|---|
| 187 | indices: |
|---|
| 188 | Parameters: |
|---|
| 189 | mp: a list of 'strings'. This should have the same length |
|---|
| 190 | as the number of elements on the legend and then maps |
|---|
| 191 | to the indeces in order. It is possible to uses latex |
|---|
| 192 | math expression. These have to be enclosed in r'', e.g. r'$x^{2}$' |
|---|
| 193 | |
|---|
| 194 | Example: |
|---|
| 195 | If the data has two IFs/rest frequencies with index 0 and 1 |
|---|
| 196 | for CO and SiO: |
|---|
| 197 | plotter.set_stacking('i') |
|---|
| 198 | plotter.set_legend(['CO','SiO']) |
|---|
| 199 | plotter.plot() |
|---|
| 200 | plotter.set_legend([r'$^{12}CO$', r'SiO']) |
|---|
| 201 | """ |
|---|
| 202 | self._lmap = mp |
|---|
| 203 | if self._data: self.plot(self._data) |
|---|
| 204 | return |
|---|
| 205 | |
|---|
| 206 | def set_title(self, title=None): |
|---|
| 207 | """ |
|---|
| 208 | Set the title of the plot. If multiple panels are plotted, |
|---|
| 209 | multiple titles have to be specified. |
|---|
| 210 | Example: |
|---|
| 211 | # two panels are visible on the plotter |
|---|
| 212 | plotter.set_title(["First Panel","Second Panel"]) |
|---|
| 213 | """ |
|---|
| 214 | self._title = title |
|---|
| 215 | if self._data: self.plot(self._data) |
|---|
| 216 | return |
|---|
| 217 | |
|---|
| 218 | def set_ordinate(self, ordinate=None): |
|---|
| 219 | """ |
|---|
| 220 | Set the y-axis label of the plot. If multiple panels are plotted, |
|---|
| 221 | multiple labels have to be specified. |
|---|
| 222 | Example: |
|---|
| 223 | # two panels are visible on the plotter |
|---|
| 224 | plotter.set_ordinate(["First Y-Axis","Second Y-Axis"]) |
|---|
| 225 | """ |
|---|
| 226 | self._ordinate = ordinate |
|---|
| 227 | if self._data: self.plot(self._data) |
|---|
| 228 | return |
|---|
| 229 | |
|---|
| 230 | def set_abcissa(self, abcissa=None): |
|---|
| 231 | """ |
|---|
| 232 | Set the x-axis label of the plot. If multiple panels are plotted, |
|---|
| 233 | multiple labels have to be specified. |
|---|
| 234 | Example: |
|---|
| 235 | # two panels are visible on the plotter |
|---|
| 236 | plotter.set_ordinate(["First X-Axis","Second X-Axis"]) |
|---|
| 237 | """ |
|---|
| 238 | self._abcissa = abcissa |
|---|
| 239 | if self._data: self.plot(self._data) |
|---|
| 240 | return |
|---|
| 241 | |
|---|
| 242 | def set_colors(self, colormap): |
|---|
| 243 | """ |
|---|
| 244 | Set the colors to be used. The plotter will cycle through |
|---|
| 245 | these colors when lines are overlaid (stacking mode). |
|---|
| 246 | Example: |
|---|
| 247 | plotter.set_colors("red green blue") |
|---|
| 248 | # If for example four lines are overlaid e.g I Q U V |
|---|
| 249 | # 'I' will be 'red', 'Q' will be 'green', U will be 'blue' |
|---|
| 250 | # and 'V' will be 'red' again. |
|---|
| 251 | """ |
|---|
| 252 | if isinstance(colormap,str): |
|---|
| 253 | colormap = colormap.split() |
|---|
| 254 | self._plotter.palette(0,colormap=colormap) |
|---|
| 255 | if self._data: self.plot(self._data) |
|---|
| 256 | |
|---|
| 257 | def set_linestyles(self, linestyles): |
|---|
| 258 | """ |
|---|
| 259 | Set the linestyles to be used. The plotter will cycle through |
|---|
| 260 | these linestyles when lines are overlaid (stacking mode) AND |
|---|
| 261 | only one color has been set. |
|---|
| 262 | Parameters: |
|---|
| 263 | linestyles: a list of linestyles to use. |
|---|
| 264 | 'line', 'dashed', 'dotted', 'dashdot', |
|---|
| 265 | 'dashdotdot' and 'dashdashdot' are |
|---|
| 266 | possible |
|---|
| 267 | |
|---|
| 268 | Example: |
|---|
| 269 | plotter.set_colors("black") |
|---|
| 270 | plotter.set_linestyles("line dashed dotted dashdot") |
|---|
| 271 | # If for example four lines are overlaid e.g I Q U V |
|---|
| 272 | # 'I' will be 'solid', 'Q' will be 'dashed', |
|---|
| 273 | # U will be 'dotted' and 'V' will be 'dashdot'. |
|---|
| 274 | """ |
|---|
| 275 | if isinstance(linestyles,str): |
|---|
| 276 | linestyles = linestyles.split() |
|---|
| 277 | self._plotter.palette(color=0,linestyle=0,linestyles=linestyles) |
|---|
| 278 | if self._data: self.plot(self._data) |
|---|
| 279 | |
|---|
| 280 | def save(self, filename=None, orientation=None, dpi=None): |
|---|
| 281 | """ |
|---|
| 282 | Save the plot to a file. The know formats are 'png', 'ps', 'eps'. |
|---|
| 283 | Parameters: |
|---|
| 284 | filename: The name of the output file. This is optional |
|---|
| 285 | and autodetects the image format from the file |
|---|
| 286 | suffix. If non filename is specified a file |
|---|
| 287 | called 'yyyymmdd_hhmmss.png' is created in the |
|---|
| 288 | current directory. |
|---|
| 289 | orientation: optional parameter for postscript only (not eps). |
|---|
| 290 | 'landscape', 'portrait' or None (default) are valid. |
|---|
| 291 | If None is choosen for 'ps' output, the plot is |
|---|
| 292 | automatically oriented to fill the page. |
|---|
| 293 | dpi: The dpi of the output non-ps plot |
|---|
| 294 | """ |
|---|
| 295 | self._plotter.save(filename,orientation,dpi) |
|---|
| 296 | return |
|---|
| 297 | |
|---|
| 298 | |
|---|
| 299 | def set_mask(self, mask=None, selection=None): |
|---|
| 300 | """ |
|---|
| 301 | Set a plotting mask for a specific polarization. |
|---|
| 302 | This is useful for masking out "noise" Pangle outside a source. |
|---|
| 303 | Parameters: |
|---|
| 304 | mask: a mask from scantable.create_mask |
|---|
| 305 | selection: the spectra to apply the mask to. |
|---|
| 306 | Example: |
|---|
| 307 | select = selector() |
|---|
| 308 | select.setpolstrings("Pangle") |
|---|
| 309 | plotter.set_mask(mymask, select) |
|---|
| 310 | """ |
|---|
| 311 | if not self._data: |
|---|
| 312 | msg = "Can only set mask after a first call to plot()" |
|---|
| 313 | if rcParams['verbose']: |
|---|
| 314 | print msg |
|---|
| 315 | return |
|---|
| 316 | else: |
|---|
| 317 | raise RuntimeError(msg) |
|---|
| 318 | if len(mask): |
|---|
| 319 | if isinstance(mask, list) or isinstance(mask, tuple): |
|---|
| 320 | self._usermask = array(mask) |
|---|
| 321 | else: |
|---|
| 322 | self._usermask = mask |
|---|
| 323 | if mask is None and selection is None: |
|---|
| 324 | self._usermask = [] |
|---|
| 325 | self._maskselection = None |
|---|
| 326 | from asap._asap import selector |
|---|
| 327 | if isinstance(selection, selector): |
|---|
| 328 | self._maskselection = {'b': selection._getbeams(), |
|---|
| 329 | 's': selection._getscans(), |
|---|
| 330 | 'i': selection._getifs(), |
|---|
| 331 | 'p': selection._getpols(), |
|---|
| 332 | 't': [] } |
|---|
| 333 | else: |
|---|
| 334 | self._maskselection = None |
|---|
| 335 | self.plot(self._data) |
|---|
| 336 | |
|---|
| 337 | def _slice_indeces(self, data): |
|---|
| 338 | mn = self._minmaxx[0] |
|---|
| 339 | mx = self._minmaxx[1] |
|---|
| 340 | asc = data[0] < data[-1] |
|---|
| 341 | start=0 |
|---|
| 342 | end = len(data)-1 |
|---|
| 343 | inc = 1 |
|---|
| 344 | if not asc: |
|---|
| 345 | start = len(data)-1 |
|---|
| 346 | end = 0 |
|---|
| 347 | inc = -1 |
|---|
| 348 | # find min index |
|---|
| 349 | while data[start] < mn: |
|---|
| 350 | start+= inc |
|---|
| 351 | # find max index |
|---|
| 352 | while data[end] > mx: |
|---|
| 353 | end-=inc |
|---|
| 354 | end +=1 |
|---|
| 355 | if start > end: |
|---|
| 356 | return end,start |
|---|
| 357 | return start,end |
|---|
| 358 | |
|---|
| 359 | def _reset(self): |
|---|
| 360 | self._usermask = [] |
|---|
| 361 | self._usermaskspectra = None |
|---|
| 362 | self.set_selection(None, False) |
|---|
| 363 | |
|---|
| 364 | def _plot(self, scan): |
|---|
| 365 | savesel = scan._getselection() |
|---|
| 366 | scan._setselection(self._selection) |
|---|
| 367 | d = {'b': scan.getbeam, 's': scan.getscan, |
|---|
| 368 | 'i': scan.getif, 'p': scan.getpol, 't': scan._gettime } |
|---|
| 369 | |
|---|
| 370 | polmodes = dict(zip(self._selection._getpols(),self._selection._getpoltypes())) |
|---|
| 371 | n,nstack = self._get_selected_n(scan) |
|---|
| 372 | maxpanel, maxstack = 9,4 |
|---|
| 373 | if n > maxpanel or nstack > maxstack: |
|---|
| 374 | from asap import asaplog |
|---|
| 375 | msg ="Scan to be plotted contains more than %d selections.\n" \ |
|---|
| 376 | "Selecting first %d selections..." % (maxpanel,maxpanel) |
|---|
| 377 | asaplog.push(msg) |
|---|
| 378 | print_log() |
|---|
| 379 | n = min(n,maxpanel) |
|---|
| 380 | nstack = min(n,maxstack) |
|---|
| 381 | |
|---|
| 382 | if n > 1: |
|---|
| 383 | ganged = rcParams['plotter.ganged'] |
|---|
| 384 | if self._rows and self._cols: |
|---|
| 385 | n = min(n,self._rows*self._cols) |
|---|
| 386 | self._plotter.set_panels(rows=self._rows,cols=self._cols, |
|---|
| 387 | nplots=n,ganged=ganged) |
|---|
| 388 | else: |
|---|
| 389 | self._plotter.set_panels(rows=n,cols=0,nplots=n,ganged=ganged) |
|---|
| 390 | else: |
|---|
| 391 | self._plotter.set_panels() |
|---|
| 392 | r=0 |
|---|
| 393 | nr = scan.nrow() |
|---|
| 394 | a0,b0 = -1,-1 |
|---|
| 395 | allxlim = [] |
|---|
| 396 | newpanel=True |
|---|
| 397 | panelcount,stackcount = 0,0 |
|---|
| 398 | while r < nr: |
|---|
| 399 | a = d[self._panelling](r) |
|---|
| 400 | b = d[self._stacking](r) |
|---|
| 401 | # print r |
|---|
| 402 | # print " a: ",a,a0,panelcount,n |
|---|
| 403 | # print " b: ",b,b0,stackcount,nstack |
|---|
| 404 | if a > a0 and panelcount < n: |
|---|
| 405 | if n > 1: |
|---|
| 406 | self._plotter.subplot(panelcount) |
|---|
| 407 | #pindex += 1 |
|---|
| 408 | self._plotter.palette(0) |
|---|
| 409 | #title |
|---|
| 410 | xlab = self._abcissa and self._abcissa[panelcount] \ |
|---|
| 411 | or scan._getabcissalabel() |
|---|
| 412 | ylab = self._ordinate and self._ordinate[panelcount] \ |
|---|
| 413 | or scan._get_ordinate_label() |
|---|
| 414 | self._plotter.set_axes('xlabel',xlab) |
|---|
| 415 | self._plotter.set_axes('ylabel',ylab) |
|---|
| 416 | lbl = self._get_label(scan, r, self._panelling, self._title) |
|---|
| 417 | if isinstance(lbl, list) or isinstance(lbl, tuple): |
|---|
| 418 | if 0 <= panelcount < len(lbl): |
|---|
| 419 | lbl = lbl[panelcount] |
|---|
| 420 | else: |
|---|
| 421 | # get default label |
|---|
| 422 | lbl = self._get_label(scan, r, self._panelling, None) |
|---|
| 423 | self._plotter.set_axes('title',lbl) |
|---|
| 424 | newpanel = True |
|---|
| 425 | stackcount =0 |
|---|
| 426 | panelcount += 1 |
|---|
| 427 | if (b > b0 or newpanel) and stackcount < nstack: |
|---|
| 428 | y = [] |
|---|
| 429 | if len(polmodes): |
|---|
| 430 | y = scan._getspectrum(r, polmodes[scan.getpol(r)]) |
|---|
| 431 | else: |
|---|
| 432 | y = scan._getspectrum(r) |
|---|
| 433 | m = scan._getmask(r) |
|---|
| 434 | if self._maskselection and len(self._usermask) == len(m): |
|---|
| 435 | if d[self._stacking](r) in self._maskselection[self._stacking]: |
|---|
| 436 | print "debug" |
|---|
| 437 | m = logical_and(m, self._usermask) |
|---|
| 438 | x = scan._getabcissa(r) |
|---|
| 439 | if self._minmaxx is not None: |
|---|
| 440 | s,e = self._slice_indeces(x) |
|---|
| 441 | x = x[s:e] |
|---|
| 442 | y = y[s:e] |
|---|
| 443 | m = m[s:e] |
|---|
| 444 | if len(x) > 1024 and True:#rcParams['plotter.decimate']: |
|---|
| 445 | fac = len(x)/1024 |
|---|
| 446 | x = x[::fac] |
|---|
| 447 | m = m[::fac] |
|---|
| 448 | y = y[::fac] |
|---|
| 449 | llbl = self._get_label(scan, r, self._stacking, self._lmap) |
|---|
| 450 | if isinstance(llbl, list) or isinstance(llbl, tuple): |
|---|
| 451 | if 0 <= stackcount < len(llbl): |
|---|
| 452 | # use user label |
|---|
| 453 | llbl = llbl[stackcount] |
|---|
| 454 | else: |
|---|
| 455 | # get default label |
|---|
| 456 | llbl = self._get_label(scan, r, self._stacking, None) |
|---|
| 457 | self._plotter.set_line(label=llbl) |
|---|
| 458 | self._plotter.plot(x,y,m) |
|---|
| 459 | xlim= self._minmaxx or [min(x),max(x)] |
|---|
| 460 | allxlim += xlim |
|---|
| 461 | stackcount += 1 |
|---|
| 462 | # last in colour stack -> autoscale x |
|---|
| 463 | if stackcount == nstack: |
|---|
| 464 | allxlim.sort() |
|---|
| 465 | self._plotter.axes.set_xlim([allxlim[0],allxlim[-1]]) |
|---|
| 466 | # clear |
|---|
| 467 | allxlim =[] |
|---|
| 468 | |
|---|
| 469 | newpanel = False |
|---|
| 470 | a0=a |
|---|
| 471 | b0=b |
|---|
| 472 | # ignore following rows |
|---|
| 473 | if (panelcount == n) and (stackcount == nstack): |
|---|
| 474 | pass#break |
|---|
| 475 | r+=1 # next row |
|---|
| 476 | |
|---|
| 477 | scan._setselection(savesel) |
|---|
| 478 | |
|---|
| 479 | def set_selection(self, selection=None, refresh=True): |
|---|
| 480 | from asap._asap import selector |
|---|
| 481 | self._selection = selection or selector() |
|---|
| 482 | d0 = {'s': 'SCANNO', 'b': 'BEAMNO', 'i':'IFNO', |
|---|
| 483 | 'p': 'POLNO', 'c': 'CYCLENO', 't' : 'TIME' } |
|---|
| 484 | order = [d0[self._panelling],d0[self._stacking]] |
|---|
| 485 | self._selection._setorder(order) |
|---|
| 486 | if self._data and refresh: self.plot(self._data) |
|---|
| 487 | |
|---|
| 488 | def _get_selected_n(self, scan): |
|---|
| 489 | d1 = {'b': scan.nbeam, 's': scan.nscan, |
|---|
| 490 | 'i': scan.nif, 'p': scan.npol, 't': scan.ncycle } |
|---|
| 491 | d2 = { 'b': len(self._selection._getbeams()), |
|---|
| 492 | 's': len(self._selection._getscans()), |
|---|
| 493 | 'i': len(self._selection._getifs()), |
|---|
| 494 | 'p': len(self._selection._getpols()), |
|---|
| 495 | 't': len(self._selection._getcycles()) } |
|---|
| 496 | n = d2[self._panelling] or d1[self._panelling]() |
|---|
| 497 | nstack = d2[self._stacking] or d1[self._stacking]() |
|---|
| 498 | return n,nstack |
|---|
| 499 | |
|---|
| 500 | def _get_label(self, scan, row, mode, userlabel=None): |
|---|
| 501 | pms = dict(zip(self._selection._getpols(),self._selection._getpoltypes())) |
|---|
| 502 | if len(pms): |
|---|
| 503 | poleval = scan._getpollabel(scan.getpol(row),pms[scan.getpol(row)]) |
|---|
| 504 | else: |
|---|
| 505 | poleval = scan._getpollabel(scan.getpol(row),scan.poltype()) |
|---|
| 506 | d = {'b': "Beam "+str(scan.getbeam(row)), |
|---|
| 507 | 's': scan._getsourcename(row), |
|---|
| 508 | 'i': "IF"+str(scan.getif(row)), |
|---|
| 509 | 'p': scan.poltype().capitalize()+" "+poleval, |
|---|
| 510 | 't': scan._gettime(row) } |
|---|
| 511 | return userlabel or d[mode] |
|---|
