| [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]
|
|---|
