| [226] | 1 | from asap import rcParams
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| [709] | 2 | from numarray import logical_and
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| [203] | 3 |
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| 4 | class asapplotter:
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| [226] | 5 | """
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| 6 | The ASAP plotter.
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| 7 | By default the plotter is set up to plot polarisations
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| 8 | 'colour stacked' and scantables across panels.
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| 9 | Note:
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| 10 | Currenly it only plots 'spectra' not Tsys or
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| 11 | other variables.
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| 12 | """
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| [734] | 13 | def __init__(self, visible=None):
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| 14 | self._visible = rcParams['plotter.gui']
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| 15 | if visible is not None:
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| 16 | self._visible = visible
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| [710] | 17 | self._plotter = self._newplotter()
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| 18 |
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| [203] | 19 | self._tdict = {'Time':'t','time':'t','t':'t','T':'t'}
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| 20 | self._bdict = {'Beam':'b','beam':'b','b':'b','B':'b'}
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| 21 | self._idict = {'IF':'i','if':'i','i':'i','I':'i'}
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| 22 | self._pdict = {'Pol':'p','pol':'p','p':'p'}
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| 23 | self._sdict = {'scan':'s','Scan':'s','s':'s','S':'s'}
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| [525] | 24 | self._cdict = {'t':'len(self._cursor["t"])',
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| 25 | 'b':'len(self._cursor["b"])',
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| 26 | 'i':'len(self._cursor["i"])',
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| 27 | 'p':'len(self._cursor["p"])',
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| [203] | 28 | 's':'len(scans)'}
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| 29 | self._ldict = {'b':'Beam',
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| 30 | 'i':'IF',
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| 31 | 'p':'Pol',
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| 32 | 's':'Scan'}
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| 33 | self._dicts = [self._tdict,self._bdict,
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| 34 | self._idict,self._pdict,
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| 35 | self._sdict]
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| [554] | 36 | self._panelling = None
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| 37 | self._stacking = None
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| 38 | self.set_panelling()
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| 39 | self.set_stacking()
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| [377] | 40 | self._rows = None
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| 41 | self._cols = None
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| [203] | 42 | self._autoplot = False
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| [525] | 43 | self._minmaxx = None
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| 44 | self._minmaxy = None
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| [710] | 45 | self._datamask = None
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| [203] | 46 | self._data = None
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| [607] | 47 | self._lmap = None
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| [226] | 48 | self._title = None
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| [257] | 49 | self._ordinate = None
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| 50 | self._abcissa = None
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| [709] | 51 | self._abcunit = None
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| [525] | 52 | self._cursor = {'t':None, 'b':None,
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| 53 | 'i':None, 'p':None
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| 54 | }
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| [710] | 55 | self._usermask = None
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| 56 | self._usermaskspectra = None
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| [203] | 57 |
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| [710] | 58 | def _newplotter(self):
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| 59 | if self._visible:
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| 60 | from asap.asaplotgui import asaplotgui as asaplot
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| 61 | else:
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| 62 | from asap.asaplot import asaplot
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| 63 | return asaplot()
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| 64 |
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| 65 |
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| [203] | 66 | def _translate(self, name):
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| 67 | for d in self._dicts:
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| 68 | if d.has_key(name):
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| 69 | return d[name]
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| 70 | return None
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| [709] | 71 |
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| [525] | 72 | def plot(self, *args):
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| [203] | 73 | """
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| 74 | Plot a (list of) scantables.
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| 75 | Parameters:
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| [709] | 76 | one or more comma separated scantables
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| [203] | 77 | Note:
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| 78 | If a (list) of scantables was specified in a previous call
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| 79 | to plot, no argument has to be given to 'replot'
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| [525] | 80 | NO checking is done that the abcissas of the scantables
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| [203] | 81 | are consistent e.g. all 'channel' or all 'velocity' etc.
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| 82 | """
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| [710] | 83 | if self._plotter.is_dead:
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| 84 | self._plotter = self._newplotter()
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| [600] | 85 | self._plotter.hold()
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| [203] | 86 | self._plotter.clear()
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| 87 | if len(args) > 0:
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| [709] | 88 | if self._data is not None:
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| [525] | 89 | if list(args) != self._data:
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| 90 | self._data = list(args)
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| [710] | 91 | # reset
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| 92 | self._reset()
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| [525] | 93 | else:
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| [710] | 94 | if isinstance(args[0], list):
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| 95 | self._data = args[0]
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| 96 | else:
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| 97 | self._data = list(args)
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| 98 | self._reset()
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| [709] | 99 | # ranges become invalid when unit changes
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| 100 | if self._abcunit != self._data[0].get_unit():
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| 101 | self._minmaxx = None
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| 102 | self._minmaxy = None
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| 103 | self._abcunit = self._data[0].get_unit()
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| [710] | 104 | self._datamask = None
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| [554] | 105 | if self._panelling == 't':
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| [626] | 106 | maxrows = 25
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| [541] | 107 | if self._data[0].nrow() > maxrows:
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| [603] | 108 | if self._cursor["t"] is None or \
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| 109 | (isinstance(self._cursor["t"],list) and \
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| 110 | len(self._cursor["t"]) > maxrows ):
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| 111 | print "Scan to be plotted contains more than %d rows.\n" \
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| 112 | "Selecting first %d rows..." % (maxrows,maxrows)
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| 113 | self._cursor["t"] = range(maxrows)
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| [203] | 114 | self._plot_time(self._data[0], self._stacking)
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| [554] | 115 | elif self._panelling == 's':
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| [203] | 116 | self._plot_scans(self._data, self._stacking)
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| 117 | else:
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| 118 | self._plot_other(self._data, self._stacking)
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| [709] | 119 | if self._minmaxy is not None:
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| 120 | self._plotter.set_limits(ylim=self._minmaxy)
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| [203] | 121 | self._plotter.release()
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| 122 | return
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| 123 |
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| 124 | def _plot_time(self, scan, colmode):
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| 125 | if colmode == 't':
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| 126 | return
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| [525] | 127 | n = len(self._cursor["t"])
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| [203] | 128 | cdict = {'b':'scan.setbeam(j)',
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| 129 | 'i':'scan.setif(j)',
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| 130 | 'p':'scan.setpol(j)'}
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| [525] | 131 | cdict2 = {'b':'self._cursor["b"]',
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| 132 | 'i':'self._cursor["i"]',
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| 133 | 'p':'self._cursor["p"]'}
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| 134 | ncol = 1
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| [203] | 135 | if self._stacking is not None:
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| 136 | ncol = eval(self._cdict.get(colmode))
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| 137 | if n > 1:
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| [710] | 138 | ganged = rcParams['plotter.ganged']
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| [377] | 139 | if self._rows and self._cols:
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| 140 | n = min(n,self._rows*self._cols)
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| 141 | self._plotter.set_panels(rows=self._rows,cols=self._cols,
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| [710] | 142 | nplots=n,ganged=ganged)
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| [377] | 143 | else:
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| [710] | 144 | self._plotter.set_panels(rows=n,cols=0,nplots=n,ganged=ganged)
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| [600] | 145 | else:
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| 146 | self._plotter.set_panels()
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| [525] | 147 | rows = self._cursor["t"]
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| [652] | 148 | self._plotter.palette(0)
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| [525] | 149 | for rowsel in rows:
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| 150 | i = self._cursor["t"].index(rowsel)
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| [203] | 151 | if n > 1:
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| [652] | 152 | self._plotter.palette(0)
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| [203] | 153 | self._plotter.subplot(i)
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| [525] | 154 | colvals = eval(cdict2.get(colmode))
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| 155 | for j in colvals:
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| 156 | polmode = "raw"
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| 157 | jj = colvals.index(j)
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| 158 | savej = j
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| 159 | for k in cdict.keys():
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| [709] | 160 | sel = eval(cdict2.get(k))
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| [525] | 161 | j = sel[0]
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| 162 | if k == "p":
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| 163 | which = self._cursor["p"].index(j)
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| 164 | polmode = self._polmode[which]
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| 165 | j = which
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| 166 | eval(cdict.get(k))
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| 167 | j = savej
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| 168 | if colmode == "p":
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| 169 | polmode = self._polmode[self._cursor["p"].index(j)]
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| [709] | 170 | #j = jj
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| [203] | 171 | eval(cdict.get(colmode))
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| 172 | x = None
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| 173 | y = None
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| 174 | m = None
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| [626] | 175 | if self._title is None:
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| [709] | 176 | tlab = scan._getsourcename(rowsel)
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| [226] | 177 | else:
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| [626] | 178 | if len(self._title) >= n:
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| [525] | 179 | tlab = self._title[rowsel]
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| [226] | 180 | else:
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| [525] | 181 | tlab = scan._getsourcename(rowsel)
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| 182 | x,xlab = scan.get_abcissa(rowsel)
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| [257] | 183 | if self._abcissa: xlab = self._abcissa
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| [525] | 184 | y = None
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| [710] | 185 | m = scan._getmask(rowsel)
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| 186 | if self._usermask and self._usermask.count(j):
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| 187 | m = logical_and(self._usermask, m)
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| [525] | 188 | if polmode == "stokes":
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| 189 | y = scan._getstokesspectrum(rowsel)
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| 190 | elif polmode == "stokes2":
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| 191 | y = scan._getstokesspectrum(rowsel,True)
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| [541] | 192 | elif polmode == "circular":
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| 193 | y = scan._stokestopolspectrum(rowsel,False,-1)
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| [525] | 194 | else:
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| 195 | y = scan._getspectrum(rowsel)
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| [257] | 196 | if self._ordinate:
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| 197 | ylab = self._ordinate
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| 198 | else:
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| [626] | 199 | ylab = scan._get_ordinate_label()
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| [525] | 200 | m = scan._getmask(rowsel)
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| [710] | 201 | if self._datamask is not None:
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| 202 | if len(m) == len(self._datamask):
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| 203 | m = logical_and(m,self._datamask)
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| [226] | 204 | if self._lmap and len(self._lmap) > 0:
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| [525] | 205 | llab = self._lmap[jj]
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| [203] | 206 | else:
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| [525] | 207 | if colmode == 'p':
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| [603] | 208 | llab = self._get_pollabel(scan, polmode)
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| [709] | 209 | else:
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| [525] | 210 | llab = self._ldict.get(colmode)+' '+str(j)
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| [203] | 211 | self._plotter.set_line(label=llab)
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| [709] | 212 | if self._minmaxx is not None:
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| 213 | s,e = self._slice_indeces(x)
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| 214 | x = x[s:e]
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| 215 | y = y[s:e]
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| 216 | m = m[s:e]
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| [710] | 217 | if len(x) > 1024 and rcParams['plotter.decimate']:
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| 218 | fac = len(x)/1024
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| 219 | x = x[::fac]
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| 220 | m = m[::fac]
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| 221 | y = y[::fac]
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| [203] | 222 | self._plotter.plot(x,y,m)
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| 223 | xlim=[min(x),max(x)]
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| [709] | 224 | if self._minmaxx is not None:
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| [710] | 225 | xlim = self._minmaxx
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| 226 | self._plotter.axes.set_xlim(xlim)
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| [203] | 227 | self._plotter.set_axes('xlabel',xlab)
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| 228 | self._plotter.set_axes('ylabel',ylab)
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| [709] | 229 | self._plotter.set_axes('title',tlab)
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| [203] | 230 | return
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| 231 |
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| [525] | 232 | def _plot_scans(self, scans, colmode):
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| [710] | 233 | print "Plotting mode is scans across panels. Can only plot one row per scan."
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| [203] | 234 | if colmode == 's':
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| 235 | return
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| 236 | cdict = {'b':'scan.setbeam(j)',
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| 237 | 'i':'scan.setif(j)',
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| 238 | 'p':'scan.setpol(j)'}
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| [525] | 239 | cdict2 = {'b':'self._cursor["b"]',
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| 240 | 'i':'self._cursor["i"]',
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| 241 | 'p':'self._cursor["p"]'}
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| [709] | 242 |
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| [203] | 243 | n = len(scans)
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| [525] | 244 | ncol = 1
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| [203] | 245 | if self._stacking is not None:
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| 246 | scan = scans[0]
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| 247 | ncol = eval(self._cdict.get(colmode))
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| 248 | if n > 1:
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| [710] | 249 | ganged = rcParams['plotter.ganged']
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| [377] | 250 | if self._rows and self._cols:
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| 251 | n = min(n,self._rows*self._cols)
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| [626] | 252 | self._plotter.set_panels(rows=self._rows,cols=self._cols,
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| [710] | 253 | nplots=n,ganged=ganged)
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| [377] | 254 | else:
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| [710] | 255 | self._plotter.set_panels(rows=n,cols=0,nplots=n,ganged=ganged)
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| [600] | 256 | else:
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| 257 | self._plotter.set_panels()
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| [709] | 258 |
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| [203] | 259 | for scan in scans:
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| [652] | 260 | self._plotter.palette(0)
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| [203] | 261 | if n > 1:
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| [525] | 262 | self._plotter.subplot(scans.index(scan))
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| 263 | colvals = eval(cdict2.get(colmode))
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| 264 | rowsel = self._cursor["t"][0]
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| 265 | for j in colvals:
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| 266 | polmode = "raw"
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| 267 | jj = colvals.index(j)
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| 268 | savej = j
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| 269 | for k in cdict.keys():
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| [709] | 270 | sel = eval(cdict2.get(k))
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| [525] | 271 | j = sel[0]
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| 272 | eval(cdict.get(k))
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| 273 | if k == "p":
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| 274 | which = self._cursor["p"].index(j)
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| 275 | polmode = self._polmode[which]
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| 276 | j = which
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| 277 | j = savej
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| 278 | if colmode == "p":
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| 279 | polmode = self._polmode[self._cursor["p"].index(j)]
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| [709] | 280 | #j = jj
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| [203] | 281 | eval(cdict.get(colmode))
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| 282 | x = None
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| 283 | y = None
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| 284 | m = None
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| [226] | 285 | tlab = self._title
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| 286 | if not self._title:
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| [525] | 287 | tlab = scan._getsourcename(rowsel)
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| 288 | x,xlab = scan.get_abcissa(rowsel)
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| [257] | 289 | if self._abcissa: xlab = self._abcissa
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| [525] | 290 | if polmode == "stokes":
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| 291 | y = scan._getstokesspectrum(rowsel)
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| 292 | elif polmode == "stokes2":
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| 293 | y = scan._getstokesspectrum(rowsel,True)
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| [541] | 294 | elif polmode == "circular":
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| 295 | y = scan._stokestopolspectrum(rowsel,False,-1)
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| [525] | 296 | else:
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| 297 | y = scan._getspectrum(rowsel)
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| [257] | 298 | if self._ordinate:
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| 299 | ylab = self._ordinate
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| 300 | else:
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| [626] | 301 | ylab = scan._get_ordinate_label()
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| [525] | 302 | m = scan._getmask(rowsel)
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| [710] | 303 | if self._usermask and self._usermask.count(j):
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| 304 | m = logical_and(self._usermask, m)
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| [257] | 305 | if self._lmap and len(self._lmap) > 0:
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| [525] | 306 | llab = self._lmap[jj]
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| [203] | 307 | else:
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| [525] | 308 | if colmode == 'p':
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| [603] | 309 | llab = self._get_pollabel(scan, polmode)
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| [525] | 310 | else:
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| 311 | llab = self._ldict.get(colmode)+' '+str(j)
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| [203] | 312 | self._plotter.set_line(label=llab)
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| [709] | 313 | if self._minmaxx is not None:
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| 314 | s,e = self._slice_indeces(x)
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| 315 | x = x[s:e]
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| 316 | y = y[s:e]
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| 317 | m = m[s:e]
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| [710] | 318 | if len(x) > 1024 and rcParams['plotter.decimate']:
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| 319 | fac = len(x)/1024
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| 320 | x = x[::fac]
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| 321 | m = m[::fac]
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| 322 | y = y[::fac]
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| [203] | 323 | self._plotter.plot(x,y,m)
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| 324 | xlim=[min(x),max(x)]
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| [709] | 325 | if self._minmaxx is not None:
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| [710] | 326 | xlim = self._minmaxx
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| [203] | 327 | self._plotter.axes.set_xlim(xlim)
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| 328 |
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| 329 | self._plotter.set_axes('xlabel',xlab)
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| 330 | self._plotter.set_axes('ylabel',ylab)
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| 331 | self._plotter.set_axes('title',tlab)
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| 332 | return
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| [709] | 333 |
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| [203] | 334 | def _plot_other(self,scans,colmode):
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| [554] | 335 | if colmode == self._panelling:
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| [203] | 336 | return
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| [525] | 337 | cdict = {'b':'scan.setbeam(i)',
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| 338 | 'i':'scan.setif(i)',
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| 339 | 'p':'scan.setpol(i)'}
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| 340 | cdict2 = {'b':'self._cursor["b"]',
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| 341 | 'i':'self._cursor["i"]',
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| 342 | 'p':'self._cursor["p"]',
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| 343 | 's': 'scans',
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| 344 | 't': 'self._cursor["t"]'}
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| [203] | 345 | scan = scans[0]
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| [554] | 346 | n = eval(self._cdict.get(self._panelling))
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| [525] | 347 | ncol=1
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| [709] | 348 | if self._stacking is not None:
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| [203] | 349 | ncol = eval(self._cdict.get(colmode))
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| 350 | if n > 1:
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| [710] | 351 | ganged = rcParams['plotter.ganged']
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| [377] | 352 | if self._rows and self._cols:
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| 353 | n = min(n,self._rows*self._cols)
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| 354 | self._plotter.set_panels(rows=self._rows,cols=self._cols,
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| [710] | 355 | nplots=n,ganged=ganged)
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| [377] | 356 | else:
|
|---|
| [710] | 357 | self._plotter.set_panels(rows=n,cols=0,nplots=n,ganged=ganged)
|
|---|
| [600] | 358 | else:
|
|---|
| [709] | 359 | self._plotter.set_panels()
|
|---|
| 360 | panels = self._cursor[self._panelling]
|
|---|
| [525] | 361 | for i in panels:
|
|---|
| [652] | 362 | self._plotter.palette(0)
|
|---|
| [525] | 363 | polmode = "raw"
|
|---|
| [554] | 364 | ii = self._cursor[self._panelling].index(i)
|
|---|
| [203] | 365 | if n>1:
|
|---|
| [525] | 366 | self._plotter.subplot(ii)
|
|---|
| [554] | 367 | if self._panelling == "p":
|
|---|
| [525] | 368 | polmode = self._polmode[ii]
|
|---|
| [554] | 369 | eval(cdict.get(self._panelling))
|
|---|
| [525] | 370 | else:
|
|---|
| [554] | 371 | eval(cdict.get(self._panelling))
|
|---|
| [525] | 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():
|
|---|
| [554] | 378 | if k != self._panelling:
|
|---|
| [525] | 379 | sel = eval(cdict2.get(k))
|
|---|
| 380 | i = sel[0]
|
|---|
| 381 | if k == "p":
|
|---|
| [557] | 382 | which = self._cursor["p"].index(i)
|
|---|
| [525] | 383 | polmode = self._polmode[which]
|
|---|
| [709] | 384 | i = which
|
|---|
| [525] | 385 | eval(cdict.get(k))
|
|---|
| 386 | i = savei
|
|---|
| [203] | 387 | if colmode == 's':
|
|---|
| [525] | 388 | scan = j
|
|---|
| [203] | 389 | elif colmode == 't':
|
|---|
| [709] | 390 | rowsel = j
|
|---|
| [203] | 391 | else:
|
|---|
| [525] | 392 | savei = i
|
|---|
| 393 | if colmode == 'p':
|
|---|
| 394 | polmode = self._polmode[self._cursor["p"].index(j)]
|
|---|
| 395 | i = j
|
|---|
| [203] | 396 | eval(cdict.get(colmode))
|
|---|
| [525] | 397 | i = savei
|
|---|
| [203] | 398 | x = None
|
|---|
| 399 | y = None
|
|---|
| 400 | m = None
|
|---|
| [525] | 401 | x,xlab = scan.get_abcissa(rowsel)
|
|---|
| [257] | 402 | if self._abcissa: xlab = self._abcissa
|
|---|
| [525] | 403 | if polmode == "stokes":
|
|---|
| 404 | y = scan._getstokesspectrum(rowsel)
|
|---|
| 405 | elif polmode == "stokes2":
|
|---|
| 406 | y = scan._getstokesspectrum(rowsel,True)
|
|---|
| [541] | 407 | elif polmode == "circular":
|
|---|
| 408 | y = scan._stokestopolspectrum(rowsel,False,-1)
|
|---|
| [525] | 409 | else:
|
|---|
| 410 | y = scan._getspectrum(rowsel)
|
|---|
| 411 |
|
|---|
| [257] | 412 | if self._ordinate:
|
|---|
| 413 | ylab = self._ordinate
|
|---|
| 414 | else:
|
|---|
| [626] | 415 | ylab = scan._get_ordinate_label()
|
|---|
| [525] | 416 | m = scan._getmask(rowsel)
|
|---|
| [710] | 417 | if self._usermask and self._usermask.count(j):
|
|---|
| 418 | m = logical_and(self._usermask, m)
|
|---|
| 419 |
|
|---|
| [203] | 420 | if colmode == 's' or colmode == 't':
|
|---|
| [525] | 421 | if self._title and len(self._title) > 0:
|
|---|
| 422 | tlab = self._title[ii]
|
|---|
| [709] | 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)
|
|---|
| [607] | 428 | if self._lmap and len(self._lmap) > 0:
|
|---|
| 429 | llab = self._lmap[jj]
|
|---|
| 430 | else:
|
|---|
| 431 | llab = scan._getsourcename(rowsel)
|
|---|
| [203] | 432 | else:
|
|---|
| [226] | 433 | if self._title and len(self._title) > 0:
|
|---|
| [525] | 434 | tlab = self._title[ii]
|
|---|
| [226] | 435 | else:
|
|---|
| [603] | 436 | if self._panelling == 'p':
|
|---|
| 437 | tlab = self._get_pollabel(scan, polmode)
|
|---|
| 438 | else:
|
|---|
| 439 | tlab = self._ldict.get(self._panelling)+' '+str(i)
|
|---|
| [226] | 440 | if self._lmap and len(self._lmap) > 0:
|
|---|
| [525] | 441 | llab = self._lmap[jj]
|
|---|
| [203] | 442 | else:
|
|---|
| [525] | 443 | if colmode == 'p':
|
|---|
| [603] | 444 | llab = self._get_pollabel(scan, polmode)
|
|---|
| [525] | 445 | else:
|
|---|
| 446 | llab = self._ldict.get(colmode)+' '+str(j)
|
|---|
| [203] | 447 | self._plotter.set_line(label=llab)
|
|---|
| [709] | 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]
|
|---|
| [710] | 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]
|
|---|
| [203] | 458 | self._plotter.plot(x,y,m)
|
|---|
| 459 | xlim=[min(x),max(x)]
|
|---|
| [709] | 460 | if self._minmaxx is not None:
|
|---|
| [710] | 461 | xlim = self._minmaxx
|
|---|
| [203] | 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)
|
|---|
| [709] | 467 |
|
|---|
| [203] | 468 | return
|
|---|
| 469 |
|
|---|
| 470 |
|
|---|
| [226] | 471 | def set_mode(self, stacking=None, panelling=None):
|
|---|
| [203] | 472 | """
|
|---|
| [377] | 473 | Set the plots look and feel, i.e. what you want to see on the plot.
|
|---|
| [203] | 474 | Parameters:
|
|---|
| 475 | stacking: tell the plotter which variable to plot
|
|---|
| [710] | 476 | as line color overlays (default 'pol')
|
|---|
| [203] | 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 | """
|
|---|
| [554] | 487 | if not self.set_panelling(panelling):
|
|---|
| [203] | 488 | print "Invalid mode"
|
|---|
| [226] | 489 | return
|
|---|
| [203] | 490 | if not self.set_stacking(stacking):
|
|---|
| 491 | print "Invalid mode"
|
|---|
| [226] | 492 | return
|
|---|
| 493 | if self._data: self.plot()
|
|---|
| [203] | 494 | return
|
|---|
| 495 |
|
|---|
| [554] | 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)
|
|---|
| [203] | 501 | if md:
|
|---|
| [554] | 502 | self._panelling = md
|
|---|
| [226] | 503 | self._title = None
|
|---|
| [203] | 504 | return True
|
|---|
| 505 | return False
|
|---|
| 506 |
|
|---|
| [377] | 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 |
|
|---|
| [709] | 523 | def set_stacking(self, what=None):
|
|---|
| [554] | 524 | mode = what
|
|---|
| [709] | 525 | if mode is None:
|
|---|
| 526 | mode = rcParams['plotter.stacking']
|
|---|
| [554] | 527 | md = self._translate(mode)
|
|---|
| [203] | 528 | if md:
|
|---|
| 529 | self._stacking = md
|
|---|
| [226] | 530 | self._lmap = None
|
|---|
| [203] | 531 | return True
|
|---|
| 532 | return False
|
|---|
| 533 |
|
|---|
| [525] | 534 | def set_range(self,xstart=None,xend=None,ystart=None,yend=None):
|
|---|
| [203] | 535 | """
|
|---|
| 536 | Set the range of interest on the abcissa of the plot
|
|---|
| 537 | Parameters:
|
|---|
| [525] | 538 | [x,y]start,[x,y]end: The start and end points of the 'zoom' window
|
|---|
| [203] | 539 | Note:
|
|---|
| 540 | These become non-sensical when the unit changes.
|
|---|
| 541 | use plotter.set_range() without parameters to reset
|
|---|
| 542 |
|
|---|
| 543 | """
|
|---|
| [525] | 544 | if xstart is None and xend is None:
|
|---|
| 545 | self._minmaxx = None
|
|---|
| [600] | 546 | else:
|
|---|
| 547 | self._minmaxx = [xstart,xend]
|
|---|
| [525] | 548 | if ystart is None and yend is None:
|
|---|
| 549 | self._minmaxy = None
|
|---|
| [600] | 550 | else:
|
|---|
| [709] | 551 | self._minmaxy = [ystart,yend]
|
|---|
| [525] | 552 | if self._data: self.plot()
|
|---|
| [203] | 553 | return
|
|---|
| [709] | 554 |
|
|---|
| [257] | 555 | def set_legend(self, mp=None):
|
|---|
| [203] | 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
|
|---|
| [710] | 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'$x^{2}$'
|
|---|
| [203] | 564 |
|
|---|
| 565 | Example:
|
|---|
| [485] | 566 | If the data has two IFs/rest frequencies with index 0 and 1
|
|---|
| [203] | 567 | for CO and SiO:
|
|---|
| 568 | plotter.set_stacking('i')
|
|---|
| [710] | 569 | plotter.set_legend(['CO','SiO'])
|
|---|
| [203] | 570 | plotter.plot()
|
|---|
| [710] | 571 | plotter.set_legend([r'$^{12}CO$', r'SiO'])
|
|---|
| [203] | 572 | """
|
|---|
| 573 | self._lmap = mp
|
|---|
| [226] | 574 | if self._data: self.plot()
|
|---|
| 575 | return
|
|---|
| 576 |
|
|---|
| 577 | def set_title(self, title=None):
|
|---|
| [710] | 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 | """
|
|---|
| [226] | 585 | self._title = title
|
|---|
| 586 | if self._data: self.plot()
|
|---|
| 587 | return
|
|---|
| 588 |
|
|---|
| [257] | 589 | def set_ordinate(self, ordinate=None):
|
|---|
| [710] | 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 | """
|
|---|
| [257] | 597 | self._ordinate = ordinate
|
|---|
| 598 | if self._data: self.plot()
|
|---|
| 599 | return
|
|---|
| 600 |
|
|---|
| 601 | def set_abcissa(self, abcissa=None):
|
|---|
| [710] | 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 | """
|
|---|
| [257] | 609 | self._abcissa = abcissa
|
|---|
| 610 | if self._data: self.plot()
|
|---|
| 611 | return
|
|---|
| 612 |
|
|---|
| [710] | 613 | def set_colors(self, colormap):
|
|---|
| [377] | 614 | """
|
|---|
| [710] | 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 | """
|
|---|
| [734] | 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.
|
|---|
| [710] | 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 | """
|
|---|
| [377] | 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.
|
|---|
| [709] | 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.
|
|---|
| [710] | 664 | dpi: The dpi of the output non-ps plot
|
|---|
| [377] | 665 | """
|
|---|
| [709] | 666 | self._plotter.save(filename,orientation,dpi)
|
|---|
| [377] | 667 | return
|
|---|
| [709] | 668 |
|
|---|
| [541] | 669 | def set_cursor(self, row=None,beam=None,IF=None,pol=None, refresh=True):
|
|---|
| [525] | 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
|
|---|
| [541] | 683 | ["XX", "YY", "Real(XY)", "Imag(XY)"] or
|
|---|
| 684 | ["RR", "LL"]
|
|---|
| [525] | 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"])
|
|---|
| [257] | 691 |
|
|---|
| [525] | 692 | Note:
|
|---|
| [709] | 693 | Be careful to select only exisiting polarisations.
|
|---|
| [525] | 694 | """
|
|---|
| 695 | if not self._data:
|
|---|
| 696 | print "Can only set cursor after a first call to plot()"
|
|---|
| 697 | return
|
|---|
| [709] | 698 |
|
|---|
| [525] | 699 | n = self._data[0].nrow()
|
|---|
| 700 | if row is None:
|
|---|
| 701 | self._cursor["t"] = range(n)
|
|---|
| 702 | else:
|
|---|
| 703 | for i in row:
|
|---|
| [554] | 704 | if i < 0 or i >= n:
|
|---|
| [525] | 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:
|
|---|
| [554] | 714 | if i < 0 or i >= n:
|
|---|
| [525] | 715 | print "Beam index '%d' out of range" % i
|
|---|
| [709] | 716 | return
|
|---|
| [525] | 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:
|
|---|
| [554] | 724 | if i < 0 or i >= n:
|
|---|
| [525] | 725 | print "IF index '%d' out of range" %i
|
|---|
| [709] | 726 | return
|
|---|
| 727 | self._cursor["i"] = IF
|
|---|
| [525] | 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}
|
|---|
| [710] | 733 | dcirc = { "RR":0,"LL":1}#,"Real(RL)":2,"Imag(RL)":3}
|
|---|
| [709] | 734 |
|
|---|
| [525] | 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))
|
|---|
| [541] | 756 | polmode.append("circular")
|
|---|
| [525] | 757 | else:
|
|---|
| [652] | 758 | print "Pol type '%s' not valid" %i
|
|---|
| [525] | 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
|
|---|
| [541] | 768 | if self._data and refresh: self.plot()
|
|---|
| [525] | 769 |
|
|---|
| [710] | 770 | def set_mask(self, mask=None, pol=None):
|
|---|
| [734] | 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 | """
|
|---|
| [710] | 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 |
|
|---|
| [603] | 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
|
|---|
| [709] | 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 |
|
|---|
| [710] | 841 | def _reset(self):
|
|---|
| 842 | self._usermask = None
|
|---|
| 843 | self._usermaskspectra = None
|
|---|
| 844 | self.set_cursor(refresh=False)
|
|---|
