| 1 | from asap.asaplot import ASAPlot
|
|---|
| 2 | from asap import rcParams
|
|---|
| 3 |
|
|---|
| 4 | class asapplotter:
|
|---|
| 5 | """
|
|---|
| 6 | The ASAP plotter.
|
|---|
| 7 | By default the plotter is set up to plot polarisations
|
|---|
| 8 | 'colour stacked' and scantables across panels.
|
|---|
| 9 | The defaul plotter is called 'plotter'.
|
|---|
| 10 | Note:
|
|---|
| 11 | Currenly it only plots 'spectra' not Tsys or
|
|---|
| 12 | other variables.
|
|---|
| 13 | """
|
|---|
| 14 | def __init__(self):
|
|---|
| 15 | self._plotter = ASAPlot()
|
|---|
| 16 |
|
|---|
| 17 | self._tdict = {'Time':'t','time':'t','t':'t','T':'t'}
|
|---|
| 18 | self._bdict = {'Beam':'b','beam':'b','b':'b','B':'b'}
|
|---|
| 19 | self._idict = {'IF':'i','if':'i','i':'i','I':'i'}
|
|---|
| 20 | self._pdict = {'Pol':'p','pol':'p','p':'p'}
|
|---|
| 21 | self._sdict = {'scan':'s','Scan':'s','s':'s','S':'s'}
|
|---|
| 22 | self._cdict = {'t':'scan.nrow()',
|
|---|
| 23 | 'b':'scan.nbeam()',
|
|---|
| 24 | 'i':'scan.nif()',
|
|---|
| 25 | 'p':'scan.npol()',
|
|---|
| 26 | 's':'len(scans)'}
|
|---|
| 27 | self._ldict = {'b':'Beam',
|
|---|
| 28 | 'i':'IF',
|
|---|
| 29 | 'p':'Pol',
|
|---|
| 30 | 's':'Scan'}
|
|---|
| 31 | self._dicts = [self._tdict,self._bdict,
|
|---|
| 32 | self._idict,self._pdict,
|
|---|
| 33 | self._sdict]
|
|---|
| 34 | self._panels = 's'
|
|---|
| 35 | self._stacking = rcParams['plotter.stacking']
|
|---|
| 36 | self._autoplot = False
|
|---|
| 37 | self._minmax = None
|
|---|
| 38 | self._data = None
|
|---|
| 39 | self._lmap = []
|
|---|
| 40 | self._title = None
|
|---|
| 41 | self._ordinate = None
|
|---|
| 42 | self._abcissa = None
|
|---|
| 43 |
|
|---|
| 44 | def _translate(self, name):
|
|---|
| 45 | for d in self._dicts:
|
|---|
| 46 | if d.has_key(name):
|
|---|
| 47 | return d[name]
|
|---|
| 48 | return None
|
|---|
| 49 |
|
|---|
| 50 | def plot(self,*args):
|
|---|
| 51 | """
|
|---|
| 52 | Plot a (list of) scantables.
|
|---|
| 53 | Parameters:
|
|---|
| 54 | one or more comma separated scantables
|
|---|
| 55 | Note:
|
|---|
| 56 | If a (list) of scantables was specified in a previous call
|
|---|
| 57 | to plot, no argument has to be given to 'replot'
|
|---|
| 58 | NO checking is done that the abscissas of the scantables
|
|---|
| 59 | are consistent e.g. all 'channel' or all 'velocity' etc.
|
|---|
| 60 | """
|
|---|
| 61 | if self._plotter.is_dead:
|
|---|
| 62 | self._plotter = ASAPlot()
|
|---|
| 63 | self._plotter.clear()
|
|---|
| 64 | self._plotter.hold()
|
|---|
| 65 | if len(args) > 0:
|
|---|
| 66 | self._data = tuple(args)
|
|---|
| 67 | if self._panels == 't':
|
|---|
| 68 | if self._data[0].nrow() > 25:
|
|---|
| 69 | print "Scan to be plotted contains more than 25 rows.\nCan't plot that many panels..."
|
|---|
| 70 | return
|
|---|
| 71 | self._plot_time(self._data[0], self._stacking)
|
|---|
| 72 | elif self._panels == 's':
|
|---|
| 73 | self._plot_scans(self._data, self._stacking)
|
|---|
| 74 | else:
|
|---|
| 75 | self._plot_other(self._data, self._stacking)
|
|---|
| 76 | if self._minmax is not None:
|
|---|
| 77 | self._plotter.set_limits(xlim=self._minmax)
|
|---|
| 78 | self._plotter.release()
|
|---|
| 79 | return
|
|---|
| 80 |
|
|---|
| 81 | def _plot_time(self, scan, colmode):
|
|---|
| 82 | if colmode == 't':
|
|---|
| 83 | return
|
|---|
| 84 | n = scan.nrow()
|
|---|
| 85 | cdict = {'b':'scan.setbeam(j)',
|
|---|
| 86 | 'i':'scan.setif(j)',
|
|---|
| 87 | 'p':'scan.setpol(j)'}
|
|---|
| 88 | if self._stacking is not None:
|
|---|
| 89 | ncol = eval(self._cdict.get(colmode))
|
|---|
| 90 | self._plotter.set_panels()
|
|---|
| 91 | if n > 1:
|
|---|
| 92 | self._plotter.set_panels(rows=n)
|
|---|
| 93 | for i in range(n):
|
|---|
| 94 | if n > 1:
|
|---|
| 95 | self._plotter.palette(0)
|
|---|
| 96 | self._plotter.subplot(i)
|
|---|
| 97 | for j in range(ncol):
|
|---|
| 98 | eval(cdict.get(colmode))
|
|---|
| 99 | x = None
|
|---|
| 100 | y = None
|
|---|
| 101 | m = None
|
|---|
| 102 | if not self._title:
|
|---|
| 103 | tlab = scan._getsourcename(i)
|
|---|
| 104 | else:
|
|---|
| 105 | if len(self._title) == n:
|
|---|
| 106 | tlab = self._title[i]
|
|---|
| 107 | else:
|
|---|
| 108 | tlab = scan._getsourcename(i)
|
|---|
| 109 | x,xlab = scan.get_abcissa(i)
|
|---|
| 110 | if self._abcissa: xlab = self._abcissa
|
|---|
| 111 | y = scan._getspectrum(i)
|
|---|
| 112 | if self._ordinate:
|
|---|
| 113 | ylab = self._ordinate
|
|---|
| 114 | else:
|
|---|
| 115 | ylab = 'Flux ('+scan.get_fluxunit()+')'
|
|---|
| 116 | m = scan._getmask(i)
|
|---|
| 117 | if self._lmap and len(self._lmap) > 0:
|
|---|
| 118 | llab = self._lmap[j]
|
|---|
| 119 | else:
|
|---|
| 120 | llab = self._ldict.get(colmode)+' '+str(j)
|
|---|
| 121 | self._plotter.set_line(label=llab)
|
|---|
| 122 | self._plotter.plot(x,y,m)
|
|---|
| 123 | xlim=[min(x),max(x)]
|
|---|
| 124 | self._plotter.axes.set_xlim(xlim)
|
|---|
| 125 | self._plotter.set_axes('xlabel',xlab)
|
|---|
| 126 | self._plotter.set_axes('ylabel',ylab)
|
|---|
| 127 | self._plotter.set_axes('title',tlab)
|
|---|
| 128 | return
|
|---|
| 129 |
|
|---|
| 130 | def _plot_scans(self, scans, colmode):
|
|---|
| 131 | if colmode == 's':
|
|---|
| 132 | return
|
|---|
| 133 | cdict = {'b':'scan.setbeam(j)',
|
|---|
| 134 | 'i':'scan.setif(j)',
|
|---|
| 135 | 'p':'scan.setpol(j)'}
|
|---|
| 136 | n = len(scans)
|
|---|
| 137 | if self._stacking is not None:
|
|---|
| 138 | scan = scans[0]
|
|---|
| 139 | ncol = eval(self._cdict.get(colmode))
|
|---|
| 140 | self._plotter.set_panels()
|
|---|
| 141 | if n > 1:
|
|---|
| 142 | self._plotter.set_panels(rows=n)
|
|---|
| 143 | i = 0
|
|---|
| 144 | for scan in scans:
|
|---|
| 145 | if n > 1:
|
|---|
| 146 | self._plotter.subplot(i)
|
|---|
| 147 | self._plotter.palette(0)
|
|---|
| 148 | for j in range(ncol):
|
|---|
| 149 | eval(cdict.get(colmode))
|
|---|
| 150 | x = None
|
|---|
| 151 | y = None
|
|---|
| 152 | m = None
|
|---|
| 153 | tlab = self._title
|
|---|
| 154 | if not self._title:
|
|---|
| 155 | tlab = scan._getsourcename()
|
|---|
| 156 | x,xlab = scan.get_abcissa()
|
|---|
| 157 | if self._abcissa: xlab = self._abcissa
|
|---|
| 158 | y = scan._getspectrum()
|
|---|
| 159 | if self._ordinate:
|
|---|
| 160 | ylab = self._ordinate
|
|---|
| 161 | else:
|
|---|
| 162 | ylab = 'Flux ('+scan.get_fluxunit()+')'
|
|---|
| 163 | m = scan._getmask()
|
|---|
| 164 | if self._lmap and len(self._lmap) > 0:
|
|---|
| 165 | llab = self._lmap[j]
|
|---|
| 166 | else:
|
|---|
| 167 | llab = self._ldict.get(colmode)+' '+str(j)
|
|---|
| 168 | self._plotter.set_line(label=llab)
|
|---|
| 169 | self._plotter.plot(x,y,m)
|
|---|
| 170 | xlim=[min(x),max(x)]
|
|---|
| 171 | self._plotter.axes.set_xlim(xlim)
|
|---|
| 172 |
|
|---|
| 173 | self._plotter.set_axes('xlabel',xlab)
|
|---|
| 174 | self._plotter.set_axes('ylabel',ylab)
|
|---|
| 175 | self._plotter.set_axes('title',tlab)
|
|---|
| 176 | i += 1
|
|---|
| 177 | return
|
|---|
| 178 |
|
|---|
| 179 | def _plot_other(self,scans,colmode):
|
|---|
| 180 | if colmode == self._panels:
|
|---|
| 181 | return
|
|---|
| 182 | cdict = {'b':'scan.setbeam(j)',
|
|---|
| 183 | 'i':'scan.setif(j)',
|
|---|
| 184 | 'p':'scan.setpol(j)',
|
|---|
| 185 | 's':'scans[j]'}
|
|---|
| 186 | scan = scans[0]
|
|---|
| 187 | n = eval(self._cdict.get(self._panels))
|
|---|
| 188 | if self._stacking is not None:
|
|---|
| 189 | ncol = eval(self._cdict.get(colmode))
|
|---|
| 190 | self._plotter.set_panels()
|
|---|
| 191 | if n > 1:
|
|---|
| 192 | self._plotter.set_panels(rows=n)
|
|---|
| 193 | for i in range(n):
|
|---|
| 194 | if n>1:
|
|---|
| 195 | self._plotter.subplot(i)
|
|---|
| 196 | self._plotter.palette(0)
|
|---|
| 197 | k=0
|
|---|
| 198 | #j=i
|
|---|
| 199 | eval(cdict.get(self._panels))
|
|---|
| 200 | for j in range(ncol):
|
|---|
| 201 | if colmode == 's':
|
|---|
| 202 | scan = eval(cdict.get(colmode))
|
|---|
| 203 | elif colmode == 't':
|
|---|
| 204 | k = j
|
|---|
| 205 | else:
|
|---|
| 206 | eval(cdict.get(colmode))
|
|---|
| 207 | x = None
|
|---|
| 208 | y = None
|
|---|
| 209 | m = None
|
|---|
| 210 | x,xlab = scan.get_abcissa(k)
|
|---|
| 211 | if self._abcissa: xlab = self._abcissa
|
|---|
| 212 | y = scan._getspectrum(k)
|
|---|
| 213 | if self._ordinate:
|
|---|
| 214 | ylab = self._ordinate
|
|---|
| 215 | else:
|
|---|
| 216 | ylab = 'Flux ('+scan.get_fluxunit()+')'
|
|---|
| 217 | m = scan._getmask(k)
|
|---|
| 218 | if colmode == 's' or colmode == 't':
|
|---|
| 219 | if not self._title:
|
|---|
| 220 | tlab = self._ldict.get(self._panels)+' '+str(i)
|
|---|
| 221 | else:
|
|---|
| 222 | if len(self.title) == n:
|
|---|
| 223 | tlab = self._title[i]
|
|---|
| 224 | else:
|
|---|
| 225 | tlab = self._ldict.get(self._panels)+' '+str(i)
|
|---|
| 226 | llab = scan._getsourcename(k)
|
|---|
| 227 | else:
|
|---|
| 228 | if self._title and len(self._title) > 0:
|
|---|
| 229 | tlab = self._title[i]
|
|---|
| 230 | else:
|
|---|
| 231 | tlab = self._ldict.get(self._panels)+' '+str(i)
|
|---|
| 232 | if self._lmap and len(self._lmap) > 0:
|
|---|
| 233 | llab = self._lmap[j]
|
|---|
| 234 | else:
|
|---|
| 235 | llab = self._ldict.get(colmode)+' '+str(j)
|
|---|
| 236 | self._plotter.set_line(label=llab)
|
|---|
| 237 | self._plotter.plot(x,y,m)
|
|---|
| 238 | xlim=[min(x),max(x)]
|
|---|
| 239 | self._plotter.axes.set_xlim(xlim)
|
|---|
| 240 |
|
|---|
| 241 | self._plotter.set_axes('xlabel',xlab)
|
|---|
| 242 | self._plotter.set_axes('ylabel',ylab)
|
|---|
| 243 | self._plotter.set_axes('title',tlab)
|
|---|
| 244 |
|
|---|
| 245 | return
|
|---|
| 246 |
|
|---|
| 247 |
|
|---|
| 248 | def set_mode(self, stacking=None, panelling=None):
|
|---|
| 249 | """
|
|---|
| 250 | Parameters:
|
|---|
| 251 | stacking: tell the plotter which variable to plot
|
|---|
| 252 | as line colour overlays (default 'pol')
|
|---|
| 253 | panelling: tell the plotter which variable to plot
|
|---|
| 254 | across multiple panels (default 'scan'
|
|---|
| 255 | Note:
|
|---|
| 256 | Valid modes are:
|
|---|
| 257 | 'beam' 'Beam' 'b': Beams
|
|---|
| 258 | 'if' 'IF' 'i': IFs
|
|---|
| 259 | 'pol' 'Pol' 'p': Polarisations
|
|---|
| 260 | 'scan' 'Scan' 's': Scans
|
|---|
| 261 | 'time' 'Time' 't': Times
|
|---|
| 262 | """
|
|---|
| 263 | if not self.set_panels(panelling):
|
|---|
| 264 | print "Invalid mode"
|
|---|
| 265 | return
|
|---|
| 266 | if not self.set_stacking(stacking):
|
|---|
| 267 | print "Invalid mode"
|
|---|
| 268 | return
|
|---|
| 269 | if self._data: self.plot()
|
|---|
| 270 | return
|
|---|
| 271 |
|
|---|
| 272 | def set_panels(self, what=None):
|
|---|
| 273 | if not what:
|
|---|
| 274 | what = rcParams['plotter.panelling']
|
|---|
| 275 | md = self._translate(what)
|
|---|
| 276 | if md:
|
|---|
| 277 | self._panels = md
|
|---|
| 278 | self._title = None
|
|---|
| 279 | return True
|
|---|
| 280 | return False
|
|---|
| 281 |
|
|---|
| 282 | def set_stacking(self, what=None):
|
|---|
| 283 | if not what:
|
|---|
| 284 | what = rcParams['plotter.stacking']
|
|---|
| 285 | md = self._translate(what)
|
|---|
| 286 | if md:
|
|---|
| 287 | self._stacking = md
|
|---|
| 288 | self._lmap = None
|
|---|
| 289 | return True
|
|---|
| 290 | return False
|
|---|
| 291 |
|
|---|
| 292 | def set_range(self,start=None,end=None):
|
|---|
| 293 | """
|
|---|
| 294 | Set the range of interest on the abcissa of the plot
|
|---|
| 295 | Parameters:
|
|---|
| 296 | start,end: The start an end point of the 'zoom' window
|
|---|
| 297 | Note:
|
|---|
| 298 | These become non-sensical when the unit changes.
|
|---|
| 299 | use plotter.set_range() without parameters to reset
|
|---|
| 300 |
|
|---|
| 301 | """
|
|---|
| 302 | if start is None and end is None:
|
|---|
| 303 | self._minmax = None
|
|---|
| 304 | if self._data: self.plot()
|
|---|
| 305 | else:
|
|---|
| 306 | self._minmax = [start,end]
|
|---|
| 307 | if self._data: self.plot()
|
|---|
| 308 | return
|
|---|
| 309 |
|
|---|
| 310 | def set_legend(self, mp=None):
|
|---|
| 311 | """
|
|---|
| 312 | Specify a mapping for the legend instead of using the default
|
|---|
| 313 | indices:
|
|---|
| 314 | Parameters:
|
|---|
| 315 | mp: a list of 'strings'. This should have the same length
|
|---|
| 316 | as the number of elements on the legend and then maps
|
|---|
| 317 | to the indeces in order
|
|---|
| 318 |
|
|---|
| 319 | Example:
|
|---|
| 320 | If the data has to IFs/rest frequencies with index 0 and 1
|
|---|
| 321 | for CO and SiO:
|
|---|
| 322 | plotter.set_stacking('i')
|
|---|
| 323 | plotter.set_legend_map(['CO','SiO'])
|
|---|
| 324 | plotter.plot()
|
|---|
| 325 | """
|
|---|
| 326 | self._lmap = mp
|
|---|
| 327 | if self._data: self.plot()
|
|---|
| 328 | return
|
|---|
| 329 |
|
|---|
| 330 | def set_title(self, title=None):
|
|---|
| 331 | self._title = title
|
|---|
| 332 | if self._data: self.plot()
|
|---|
| 333 | return
|
|---|
| 334 |
|
|---|
| 335 | def set_ordinate(self, ordinate=None):
|
|---|
| 336 | self._ordinate = ordinate
|
|---|
| 337 | if self._data: self.plot()
|
|---|
| 338 | return
|
|---|
| 339 |
|
|---|
| 340 | def set_abcissa(self, abcissa=None):
|
|---|
| 341 | self._abcissa = abcissa
|
|---|
| 342 | if self._data: self.plot()
|
|---|
| 343 | return
|
|---|
| 344 |
|
|---|
| 345 |
|
|---|
| 346 |
|
|---|
| 347 | if __name__ == '__main__':
|
|---|
| 348 | plotter = asapplotter()
|
|---|
