| 1 | from asap import rcParams |
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| 2 | from numarray import logical_and |
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| 3 | |
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| 4 | class asapplotter: |
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| 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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| 13 | def __init__(self, visible=True): |
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| 14 | |
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| 15 | self._visible = visible |
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| 16 | self._plotter = self._newplotter() |
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| 17 | |
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| 18 | self._tdict = {'Time':'t','time':'t','t':'t','T':'t'} |
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| 19 | self._bdict = {'Beam':'b','beam':'b','b':'b','B':'b'} |
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| 20 | self._idict = {'IF':'i','if':'i','i':'i','I':'i'} |
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| 21 | self._pdict = {'Pol':'p','pol':'p','p':'p'} |
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| 22 | self._sdict = {'scan':'s','Scan':'s','s':'s','S':'s'} |
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| 23 | self._cdict = {'t':'len(self._cursor["t"])', |
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| 24 | 'b':'len(self._cursor["b"])', |
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| 25 | 'i':'len(self._cursor["i"])', |
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| 26 | 'p':'len(self._cursor["p"])', |
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| 27 | 's':'len(scans)'} |
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| 28 | self._ldict = {'b':'Beam', |
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| 29 | 'i':'IF', |
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| 30 | 'p':'Pol', |
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| 31 | 's':'Scan'} |
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| 32 | self._dicts = [self._tdict,self._bdict, |
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| 33 | self._idict,self._pdict, |
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| 34 | self._sdict] |
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| 35 | self._panelling = None |
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| 36 | self._stacking = None |
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| 37 | self.set_panelling() |
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| 38 | self.set_stacking() |
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| 39 | self._rows = None |
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| 40 | self._cols = None |
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| 41 | self._autoplot = False |
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| 42 | self._minmaxx = None |
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| 43 | self._minmaxy = None |
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| 44 | self._datamask = None |
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| 45 | self._data = None |
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| 46 | self._lmap = None |
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| 47 | self._title = None |
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| 48 | self._ordinate = None |
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| 49 | self._abcissa = None |
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| 50 | self._abcunit = None |
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| 51 | self._cursor = {'t':None, 'b':None, |
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| 52 | 'i':None, 'p':None |
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| 53 | } |
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| 54 | self._usermask = None |
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| 55 | self._usermaskspectra = None |
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| 56 | |
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| 57 | def _newplotter(self): |
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| 58 | if self._visible: |
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| 59 | from asap.asaplotgui import asaplotgui as asaplot |
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| 60 | else: |
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| 61 | from asap.asaplot import asaplot |
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| 62 | return asaplot() |
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| 63 | |
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| 64 | |
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| 65 | def _translate(self, name): |
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| 66 | for d in self._dicts: |
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| 67 | if d.has_key(name): |
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| 68 | return d[name] |
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| 69 | return None |
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| 70 | |
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| 71 | def plot(self, *args): |
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| 72 | """ |
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| 73 | Plot a (list of) scantables. |
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| 74 | Parameters: |
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| 75 | one or more comma separated scantables |
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| 76 | Note: |
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| 77 | If a (list) of scantables was specified in a previous call |
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| 78 | to plot, no argument has to be given to 'replot' |
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| 79 | NO checking is done that the abcissas of the scantables |
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| 80 | are consistent e.g. all 'channel' or all 'velocity' etc. |
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| 81 | """ |
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| 82 | if self._plotter.is_dead: |
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| 83 | self._plotter = self._newplotter() |
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| 84 | self._plotter.hold() |
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| 85 | self._plotter.clear() |
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| 86 | if len(args) > 0: |
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| 87 | if self._data is not None: |
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| 88 | if list(args) != self._data: |
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| 89 | self._data = list(args) |
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| 90 | # reset |
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| 91 | self._reset() |
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| 92 | else: |
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| 93 | if isinstance(args[0], list): |
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| 94 | self._data = args[0] |
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| 95 | else: |
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| 96 | self._data = list(args) |
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| 97 | self._reset() |
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| 98 | # ranges become invalid when unit changes |
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| 99 | if self._abcunit != self._data[0].get_unit(): |
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| 100 | self._minmaxx = None |
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| 101 | self._minmaxy = None |
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| 102 | self._abcunit = self._data[0].get_unit() |
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| 103 | self._datamask = None |
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| 104 | if self._panelling == 't': |
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| 105 | maxrows = 25 |
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| 106 | if self._data[0].nrow() > maxrows: |
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| 107 | if self._cursor["t"] is None or \ |
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| 108 | (isinstance(self._cursor["t"],list) and \ |
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| 109 | len(self._cursor["t"]) > maxrows ): |
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| 110 | print "Scan to be plotted contains more than %d rows.\n" \ |
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| 111 | "Selecting first %d rows..." % (maxrows,maxrows) |
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| 112 | self._cursor["t"] = range(maxrows) |
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| 113 | self._plot_time(self._data[0], self._stacking) |
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| 114 | elif self._panelling == 's': |
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| 115 | self._plot_scans(self._data, self._stacking) |
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| 116 | else: |
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| 117 | self._plot_other(self._data, self._stacking) |
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| 118 | if self._minmaxy is not None: |
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| 119 | self._plotter.set_limits(ylim=self._minmaxy) |
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| 120 | self._plotter.release() |
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| 121 | return |
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| 122 | |
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| 123 | def _plot_time(self, scan, colmode): |
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| 124 | if colmode == 't': |
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| 125 | return |
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| 126 | n = len(self._cursor["t"]) |
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| 127 | cdict = {'b':'scan.setbeam(j)', |
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| 128 | 'i':'scan.setif(j)', |
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| 129 | 'p':'scan.setpol(j)'} |
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| 130 | cdict2 = {'b':'self._cursor["b"]', |
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| 131 | 'i':'self._cursor["i"]', |
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| 132 | 'p':'self._cursor["p"]'} |
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| 133 | ncol = 1 |
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| 134 | if self._stacking is not None: |
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| 135 | ncol = eval(self._cdict.get(colmode)) |
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| 136 | if n > 1: |
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| 137 | ganged = rcParams['plotter.ganged'] |
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| 138 | if self._rows and self._cols: |
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| 139 | n = min(n,self._rows*self._cols) |
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| 140 | self._plotter.set_panels(rows=self._rows,cols=self._cols, |
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| 141 | nplots=n,ganged=ganged) |
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| 142 | else: |
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| 143 | self._plotter.set_panels(rows=n,cols=0,nplots=n,ganged=ganged) |
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| 144 | else: |
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| 145 | self._plotter.set_panels() |
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| 146 | rows = self._cursor["t"] |
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| 147 | self._plotter.palette(0) |
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| 148 | for rowsel in rows: |
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| 149 | i = self._cursor["t"].index(rowsel) |
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| 150 | if n > 1: |
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| 151 | self._plotter.palette(0) |
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| 152 | self._plotter.subplot(i) |
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| 153 | colvals = eval(cdict2.get(colmode)) |
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| 154 | for j in colvals: |
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| 155 | polmode = "raw" |
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| 156 | jj = colvals.index(j) |
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| 157 | savej = j |
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| 158 | for k in cdict.keys(): |
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| 159 | sel = eval(cdict2.get(k)) |
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| 160 | j = sel[0] |
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| 161 | if k == "p": |
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| 162 | which = self._cursor["p"].index(j) |
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| 163 | polmode = self._polmode[which] |
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| 164 | j = which |
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| 165 | eval(cdict.get(k)) |
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| 166 | j = savej |
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| 167 | if colmode == "p": |
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| 168 | polmode = self._polmode[self._cursor["p"].index(j)] |
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| 169 | #j = jj |
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| 170 | eval(cdict.get(colmode)) |
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| 171 | x = None |
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| 172 | y = None |
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| 173 | m = None |
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| 174 | if self._title is None: |
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| 175 | tlab = scan._getsourcename(rowsel) |
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| 176 | else: |
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| 177 | if len(self._title) >= n: |
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| 178 | tlab = self._title[rowsel] |
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| 179 | else: |
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| 180 | tlab = scan._getsourcename(rowsel) |
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| 181 | x,xlab = scan.get_abcissa(rowsel) |
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| 182 | if self._abcissa: xlab = self._abcissa |
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| 183 | y = None |
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| 184 | m = scan._getmask(rowsel) |
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| 185 | if self._usermask and self._usermask.count(j): |
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| 186 | m = logical_and(self._usermask, m) |
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| 187 | if polmode == "stokes": |
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| 188 | y = scan._getstokesspectrum(rowsel) |
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| 189 | elif polmode == "stokes2": |
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| 190 | y = scan._getstokesspectrum(rowsel,True) |
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| 191 | elif polmode == "circular": |
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| 192 | y = scan._stokestopolspectrum(rowsel,False,-1) |
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| 193 | else: |
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| 194 | y = scan._getspectrum(rowsel) |
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| 195 | if self._ordinate: |
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| 196 | ylab = self._ordinate |
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| 197 | else: |
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| 198 | ylab = scan._get_ordinate_label() |
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| 199 | m = scan._getmask(rowsel) |
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| 200 | if self._datamask is not None: |
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| 201 | if len(m) == len(self._datamask): |
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| 202 | m = logical_and(m,self._datamask) |
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| 203 | if self._lmap and len(self._lmap) > 0: |
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| 204 | llab = self._lmap[jj] |
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| 205 | else: |
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| 206 | if colmode == 'p': |
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| 207 | llab = self._get_pollabel(scan, polmode) |
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| 208 | else: |
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| 209 | llab = self._ldict.get(colmode)+' '+str(j) |
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| 210 | self._plotter.set_line(label=llab) |
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| 211 | if self._minmaxx is not None: |
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| 212 | s,e = self._slice_indeces(x) |
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| 213 | x = x[s:e] |
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| 214 | y = y[s:e] |
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| 215 | m = m[s:e] |
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| 216 | if len(x) > 1024 and rcParams['plotter.decimate']: |
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| 217 | fac = len(x)/1024 |
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| 218 | x = x[::fac] |
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| 219 | m = m[::fac] |
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| 220 | y = y[::fac] |
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| 221 | self._plotter.plot(x,y,m) |
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| 222 | xlim=[min(x),max(x)] |
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| 223 | if self._minmaxx is not None: |
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| 224 | xlim = self._minmaxx |
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| 225 | self._plotter.axes.set_xlim(xlim) |
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| 226 | self._plotter.set_axes('xlabel',xlab) |
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| 227 | self._plotter.set_axes('ylabel',ylab) |
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| 228 | self._plotter.set_axes('title',tlab) |
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| 229 | return |
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| 230 | |
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| 231 | def _plot_scans(self, scans, colmode): |
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| 232 | print "Plotting mode is scans across panels. Can only plot one row per scan." |
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| 233 | if colmode == 's': |
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| 234 | return |
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| 235 | cdict = {'b':'scan.setbeam(j)', |
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| 236 | 'i':'scan.setif(j)', |
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| 237 | 'p':'scan.setpol(j)'} |
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| 238 | cdict2 = {'b':'self._cursor["b"]', |
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| 239 | 'i':'self._cursor["i"]', |
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| 240 | 'p':'self._cursor["p"]'} |
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| 241 | |
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| 242 | n = len(scans) |
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| 243 | ncol = 1 |
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| 244 | if self._stacking is not None: |
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| 245 | scan = scans[0] |
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| 246 | ncol = eval(self._cdict.get(colmode)) |
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| 247 | if n > 1: |
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| 248 | ganged = rcParams['plotter.ganged'] |
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| 249 | if self._rows and self._cols: |
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| 250 | n = min(n,self._rows*self._cols) |
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| 251 | self._plotter.set_panels(rows=self._rows,cols=self._cols, |
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| 252 | nplots=n,ganged=ganged) |
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| 253 | else: |
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| 254 | self._plotter.set_panels(rows=n,cols=0,nplots=n,ganged=ganged) |
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| 255 | else: |
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| 256 | self._plotter.set_panels() |
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| 257 | |
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| 258 | for scan in scans: |
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| 259 | self._plotter.palette(0) |
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| 260 | if n > 1: |
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| 261 | self._plotter.subplot(scans.index(scan)) |
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| 262 | colvals = eval(cdict2.get(colmode)) |
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| 263 | rowsel = self._cursor["t"][0] |
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| 264 | for j in colvals: |
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| 265 | polmode = "raw" |
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| 266 | jj = colvals.index(j) |
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| 267 | savej = j |
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| 268 | for k in cdict.keys(): |
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| 269 | sel = eval(cdict2.get(k)) |
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| 270 | j = sel[0] |
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| 271 | eval(cdict.get(k)) |
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| 272 | if k == "p": |
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| 273 | which = self._cursor["p"].index(j) |
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| 274 | polmode = self._polmode[which] |
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| 275 | j = which |
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| 276 | j = savej |
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| 277 | if colmode == "p": |
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| 278 | polmode = self._polmode[self._cursor["p"].index(j)] |
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| 279 | #j = jj |
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| 280 | eval(cdict.get(colmode)) |
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| 281 | x = None |
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| 282 | y = None |
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| 283 | m = None |
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| 284 | tlab = self._title |
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| 285 | if not self._title: |
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| 286 | tlab = scan._getsourcename(rowsel) |
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| 287 | x,xlab = scan.get_abcissa(rowsel) |
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| 288 | if self._abcissa: xlab = self._abcissa |
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| 289 | if polmode == "stokes": |
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| 290 | y = scan._getstokesspectrum(rowsel) |
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| 291 | elif polmode == "stokes2": |
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| 292 | y = scan._getstokesspectrum(rowsel,True) |
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| 293 | elif polmode == "circular": |
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| 294 | y = scan._stokestopolspectrum(rowsel,False,-1) |
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| 295 | else: |
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| 296 | y = scan._getspectrum(rowsel) |
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| 297 | if self._ordinate: |
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| 298 | ylab = self._ordinate |
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| 299 | else: |
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| 300 | ylab = scan._get_ordinate_label() |
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| 301 | m = scan._getmask(rowsel) |
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| 302 | if self._usermask and self._usermask.count(j): |
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| 303 | m = logical_and(self._usermask, m) |
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| 304 | if self._lmap and len(self._lmap) > 0: |
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| 305 | llab = self._lmap[jj] |
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| 306 | else: |
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| 307 | if colmode == 'p': |
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| 308 | llab = self._get_pollabel(scan, polmode) |
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| 309 | else: |
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| 310 | llab = self._ldict.get(colmode)+' '+str(j) |
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| 311 | self._plotter.set_line(label=llab) |
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| 312 | if self._minmaxx is not None: |
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| 313 | s,e = self._slice_indeces(x) |
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| 314 | x = x[s:e] |
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| 315 | y = y[s:e] |
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| 316 | m = m[s:e] |
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| 317 | if len(x) > 1024 and rcParams['plotter.decimate']: |
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| 318 | fac = len(x)/1024 |
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| 319 | x = x[::fac] |
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| 320 | m = m[::fac] |
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| 321 | y = y[::fac] |
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| 322 | self._plotter.plot(x,y,m) |
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| 323 | xlim=[min(x),max(x)] |
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| 324 | if self._minmaxx is not None: |
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| 325 | xlim = self._minmaxx |
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| 326 | self._plotter.axes.set_xlim(xlim) |
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| 327 | |
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| 328 | self._plotter.set_axes('xlabel',xlab) |
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| 329 | self._plotter.set_axes('ylabel',ylab) |
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| 330 | self._plotter.set_axes('title',tlab) |
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| 331 | return |
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| 332 | |
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| 333 | def _plot_other(self,scans,colmode): |
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| 334 | if colmode == self._panelling: |
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| 335 | return |
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| 336 | cdict = {'b':'scan.setbeam(i)', |
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| 337 | 'i':'scan.setif(i)', |
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| 338 | 'p':'scan.setpol(i)'} |
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| 339 | cdict2 = {'b':'self._cursor["b"]', |
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| 340 | 'i':'self._cursor["i"]', |
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| 341 | 'p':'self._cursor["p"]', |
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| 342 | 's': 'scans', |
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| 343 | 't': 'self._cursor["t"]'} |
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| 344 | scan = scans[0] |
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| 345 | n = eval(self._cdict.get(self._panelling)) |
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| 346 | ncol=1 |
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| 347 | if self._stacking is not None: |
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| 348 | ncol = eval(self._cdict.get(colmode)) |
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| 349 | if n > 1: |
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| 350 | ganged = rcParams['plotter.ganged'] |
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| 351 | if self._rows and self._cols: |
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| 352 | n = min(n,self._rows*self._cols) |
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| 353 | self._plotter.set_panels(rows=self._rows,cols=self._cols, |
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| 354 | nplots=n,ganged=ganged) |
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| 355 | else: |
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| 356 | self._plotter.set_panels(rows=n,cols=0,nplots=n,ganged=ganged) |
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| 357 | else: |
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| 358 | self._plotter.set_panels() |
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| 359 | panels = self._cursor[self._panelling] |
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| 360 | for i in panels: |
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| 361 | self._plotter.palette(0) |
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| 362 | polmode = "raw" |
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| 363 | ii = self._cursor[self._panelling].index(i) |
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| 364 | if n>1: |
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| 365 | self._plotter.subplot(ii) |
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| 366 | if self._panelling == "p": |
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| 367 | polmode = self._polmode[ii] |
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| 368 | eval(cdict.get(self._panelling)) |
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| 369 | else: |
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| 370 | eval(cdict.get(self._panelling)) |
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| 371 | colvals = eval(cdict2.get(colmode)) |
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| 372 | for j in colvals: |
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| 373 | rowsel = self._cursor["t"][0] |
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| 374 | jj = colvals.index(j) |
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| 375 | savei = i |
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| 376 | for k in cdict.keys(): |
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| 377 | if k != self._panelling: |
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| 378 | sel = eval(cdict2.get(k)) |
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| 379 | i = sel[0] |
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| 380 | if k == "p": |
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| 381 | which = self._cursor["p"].index(i) |
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| 382 | polmode = self._polmode[which] |
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| 383 | i = which |
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| 384 | eval(cdict.get(k)) |
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| 385 | i = savei |
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| 386 | if colmode == 's': |
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| 387 | scan = j |
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| 388 | elif colmode == 't': |
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| 389 | rowsel = j |
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| 390 | else: |
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| 391 | savei = i |
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| 392 | if colmode == 'p': |
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| 393 | polmode = self._polmode[self._cursor["p"].index(j)] |
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| 394 | i = j |
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| 395 | eval(cdict.get(colmode)) |
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| 396 | i = savei |
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| 397 | x = None |
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| 398 | y = None |
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| 399 | m = None |
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| 400 | x,xlab = scan.get_abcissa(rowsel) |
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| 401 | if self._abcissa: xlab = self._abcissa |
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| 402 | if polmode == "stokes": |
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| 403 | y = scan._getstokesspectrum(rowsel) |
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| 404 | elif polmode == "stokes2": |
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| 405 | y = scan._getstokesspectrum(rowsel,True) |
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| 406 | elif polmode == "circular": |
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| 407 | y = scan._stokestopolspectrum(rowsel,False,-1) |
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| 408 | else: |
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| 409 | y = scan._getspectrum(rowsel) |
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| 410 | |
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| 411 | if self._ordinate: |
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| 412 | ylab = self._ordinate |
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| 413 | else: |
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| 414 | ylab = scan._get_ordinate_label() |
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| 415 | m = scan._getmask(rowsel) |
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| 416 | if self._usermask and self._usermask.count(j): |
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| 417 | m = logical_and(self._usermask, m) |
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| 418 | |
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| 419 | if colmode == 's' or colmode == 't': |
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| 420 | if self._title and len(self._title) > 0: |
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| 421 | tlab = self._title[ii] |
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| 422 | else: |
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| 423 | if self._panelling == 'p': |
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| 424 | tlab = self._get_pollabel(scan, polmode) |
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| 425 | else: |
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| 426 | tlab = self._ldict.get(self._panelling)+' '+str(i) |
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| 427 | if self._lmap and len(self._lmap) > 0: |
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| 428 | llab = self._lmap[jj] |
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| 429 | else: |
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| 430 | llab = scan._getsourcename(rowsel) |
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| 431 | else: |
|---|
| 432 | if self._title and len(self._title) > 0: |
|---|
| 433 | tlab = self._title[ii] |
|---|
| 434 | else: |
|---|
| 435 | if self._panelling == 'p': |
|---|
| 436 | tlab = self._get_pollabel(scan, polmode) |
|---|
| 437 | else: |
|---|
| 438 | tlab = self._ldict.get(self._panelling)+' '+str(i) |
|---|
| 439 | if self._lmap and len(self._lmap) > 0: |
|---|
| 440 | llab = self._lmap[jj] |
|---|
| 441 | else: |
|---|
| 442 | if colmode == 'p': |
|---|
| 443 | llab = self._get_pollabel(scan, polmode) |
|---|
| 444 | else: |
|---|
| 445 | llab = self._ldict.get(colmode)+' '+str(j) |
|---|
| 446 | self._plotter.set_line(label=llab) |
|---|
| 447 | if self._minmaxx is not None: |
|---|
| 448 | s,e = self._slice_indeces(x) |
|---|
| 449 | x = x[s:e] |
|---|
| 450 | y = y[s:e] |
|---|
| 451 | m = m[s:e] |
|---|
| 452 | if len(x) > 1024 and rcParams['plotter.decimate']: |
|---|
| 453 | fac = len(x)/1024 |
|---|
| 454 | x = x[::fac] |
|---|
| 455 | m = m[::fac] |
|---|
| 456 | y = y[::fac] |
|---|
| 457 | self._plotter.plot(x,y,m) |
|---|
| 458 | xlim=[min(x),max(x)] |
|---|
| 459 | if self._minmaxx is not None: |
|---|
| 460 | xlim = self._minmaxx |
|---|
| 461 | self._plotter.axes.set_xlim(xlim) |
|---|
| 462 | |
|---|
| 463 | self._plotter.set_axes('xlabel',xlab) |
|---|
| 464 | self._plotter.set_axes('ylabel',ylab) |
|---|
| 465 | self._plotter.set_axes('title',tlab) |
|---|
| 466 | |
|---|
| 467 | return |
|---|
| 468 | |
|---|
| 469 | |
|---|
| 470 | def set_mode(self, stacking=None, panelling=None): |
|---|
| 471 | """ |
|---|
| 472 | Set the plots look and feel, i.e. what you want to see on the plot. |
|---|
| 473 | Parameters: |
|---|
| 474 | stacking: tell the plotter which variable to plot |
|---|
| 475 | as line color overlays (default 'pol') |
|---|
| 476 | panelling: tell the plotter which variable to plot |
|---|
| 477 | across multiple panels (default 'scan' |
|---|
| 478 | Note: |
|---|
| 479 | Valid modes are: |
|---|
| 480 | 'beam' 'Beam' 'b': Beams |
|---|
| 481 | 'if' 'IF' 'i': IFs |
|---|
| 482 | 'pol' 'Pol' 'p': Polarisations |
|---|
| 483 | 'scan' 'Scan' 's': Scans |
|---|
| 484 | 'time' 'Time' 't': Times |
|---|
| 485 | """ |
|---|
| 486 | if not self.set_panelling(panelling): |
|---|
| 487 | print "Invalid mode" |
|---|
| 488 | return |
|---|
| 489 | if not self.set_stacking(stacking): |
|---|
| 490 | print "Invalid mode" |
|---|
| 491 | return |
|---|
| 492 | if self._data: self.plot() |
|---|
| 493 | return |
|---|
| 494 | |
|---|
| 495 | def set_panelling(self, what=None): |
|---|
| 496 | mode = what |
|---|
| 497 | if mode is None: |
|---|
| 498 | mode = rcParams['plotter.panelling'] |
|---|
| 499 | md = self._translate(mode) |
|---|
| 500 | if md: |
|---|
| 501 | self._panelling = md |
|---|
| 502 | self._title = None |
|---|
| 503 | return True |
|---|
| 504 | return False |
|---|
| 505 | |
|---|
| 506 | def set_layout(self,rows=None,cols=None): |
|---|
| 507 | """ |
|---|
| 508 | Set the multi-panel layout, i.e. how many rows and columns plots |
|---|
| 509 | are visible. |
|---|
| 510 | Parameters: |
|---|
| 511 | rows: The number of rows of plots |
|---|
| 512 | cols: The number of columns of plots |
|---|
| 513 | Note: |
|---|
| 514 | If no argument is given, the potter reverts to its auto-plot |
|---|
| 515 | behaviour. |
|---|
| 516 | """ |
|---|
| 517 | self._rows = rows |
|---|
| 518 | self._cols = cols |
|---|
| 519 | if self._data: self.plot() |
|---|
| 520 | return |
|---|
| 521 | |
|---|
| 522 | def set_stacking(self, what=None): |
|---|
| 523 | mode = what |
|---|
| 524 | if mode is None: |
|---|
| 525 | mode = rcParams['plotter.stacking'] |
|---|
| 526 | md = self._translate(mode) |
|---|
| 527 | if md: |
|---|
| 528 | self._stacking = md |
|---|
| 529 | self._lmap = None |
|---|
| 530 | return True |
|---|
| 531 | return False |
|---|
| 532 | |
|---|
| 533 | def set_range(self,xstart=None,xend=None,ystart=None,yend=None): |
|---|
| 534 | """ |
|---|
| 535 | Set the range of interest on the abcissa of the plot |
|---|
| 536 | Parameters: |
|---|
| 537 | [x,y]start,[x,y]end: The start and end points of the 'zoom' window |
|---|
| 538 | Note: |
|---|
| 539 | These become non-sensical when the unit changes. |
|---|
| 540 | use plotter.set_range() without parameters to reset |
|---|
| 541 | |
|---|
| 542 | """ |
|---|
| 543 | if xstart is None and xend is None: |
|---|
| 544 | self._minmaxx = None |
|---|
| 545 | else: |
|---|
| 546 | self._minmaxx = [xstart,xend] |
|---|
| 547 | if ystart is None and yend is None: |
|---|
| 548 | self._minmaxy = None |
|---|
| 549 | else: |
|---|
| 550 | self._minmaxy = [ystart,yend] |
|---|
| 551 | if self._data: self.plot() |
|---|
| 552 | return |
|---|
| 553 | |
|---|
| 554 | def set_legend(self, mp=None): |
|---|
| 555 | """ |
|---|
| 556 | Specify a mapping for the legend instead of using the default |
|---|
| 557 | indices: |
|---|
| 558 | Parameters: |
|---|
| 559 | mp: a list of 'strings'. This should have the same length |
|---|
| 560 | as the number of elements on the legend and then maps |
|---|
| 561 | to the indeces in order. It is possible to uses latex |
|---|
| 562 | math expression. These have to be enclosed in r'', e.g. r'$x^{2}$' |
|---|
| 563 | |
|---|
| 564 | Example: |
|---|
| 565 | If the data has two IFs/rest frequencies with index 0 and 1 |
|---|
| 566 | for CO and SiO: |
|---|
| 567 | plotter.set_stacking('i') |
|---|
| 568 | plotter.set_legend(['CO','SiO']) |
|---|
| 569 | plotter.plot() |
|---|
| 570 | plotter.set_legend([r'$^{12}CO$', r'SiO']) |
|---|
| 571 | """ |
|---|
| 572 | self._lmap = mp |
|---|
| 573 | if self._data: self.plot() |
|---|
| 574 | return |
|---|
| 575 | |
|---|
| 576 | def set_title(self, title=None): |
|---|
| 577 | """ |
|---|
| 578 | Set the title of the plot. If multiple panels are plotted, |
|---|
| 579 | multiple titles have to be specified. |
|---|
| 580 | Example: |
|---|
| 581 | # two panels are visible on the plotter |
|---|
| 582 | plotter.set_title(["First Panel","Second Panel"]) |
|---|
| 583 | """ |
|---|
| 584 | self._title = title |
|---|
| 585 | if self._data: self.plot() |
|---|
| 586 | return |
|---|
| 587 | |
|---|
| 588 | def set_ordinate(self, ordinate=None): |
|---|
| 589 | """ |
|---|
| 590 | Set the y-axis label of the plot. If multiple panels are plotted, |
|---|
| 591 | multiple labels have to be specified. |
|---|
| 592 | Example: |
|---|
| 593 | # two panels are visible on the plotter |
|---|
| 594 | plotter.set_ordinate(["First Y-Axis","Second Y-Axis"]) |
|---|
| 595 | """ |
|---|
| 596 | self._ordinate = ordinate |
|---|
| 597 | if self._data: self.plot() |
|---|
| 598 | return |
|---|
| 599 | |
|---|
| 600 | def set_abcissa(self, abcissa=None): |
|---|
| 601 | """ |
|---|
| 602 | Set the x-axis label of the plot. If multiple panels are plotted, |
|---|
| 603 | multiple labels have to be specified. |
|---|
| 604 | Example: |
|---|
| 605 | # two panels are visible on the plotter |
|---|
| 606 | plotter.set_ordinate(["First X-Axis","Second X-Axis"]) |
|---|
| 607 | """ |
|---|
| 608 | self._abcissa = abcissa |
|---|
| 609 | if self._data: self.plot() |
|---|
| 610 | return |
|---|
| 611 | |
|---|
| 612 | def set_colors(self, colormap): |
|---|
| 613 | """ |
|---|
| 614 | Set the colors to be used. The plotter will cycle through |
|---|
| 615 | these colors when lines are overlaid (stacking mode). |
|---|
| 616 | Example: |
|---|
| 617 | plotter.set_colors("red green blue") |
|---|
| 618 | # If for example four lines are overlaid e.g I Q U V |
|---|
| 619 | # 'I' will be 'red', 'Q' will be 'green', U will be 'blue' |
|---|
| 620 | # and 'V' will be 'red' again. |
|---|
| 621 | """ |
|---|
| 622 | if isinstance(colormap,str): |
|---|
| 623 | colormap = colormap.split() |
|---|
| 624 | self._plotter.palette(0,colormap=colormap) |
|---|
| 625 | if self._data: self.plot() |
|---|
| 626 | |
|---|
| 627 | def set_linestyles(self, linestyles): |
|---|
| 628 | """ |
|---|
| 629 | Parameters: |
|---|
| 630 | linestyles: a list of linestyles to use. |
|---|
| 631 | 'line', 'dashed', 'dotted', 'dashdot', |
|---|
| 632 | 'dashdotdot' and 'dashdashdot' are |
|---|
| 633 | possible |
|---|
| 634 | |
|---|
| 635 | Set the linestyles to be used. The plotter will cycle through |
|---|
| 636 | these linestyles when lines are overlaid (stacking mode) AND |
|---|
| 637 | only one color has been set. |
|---|
| 638 | Example: |
|---|
| 639 | plotter.set_colors("black") |
|---|
| 640 | plotter.set_linestyles("line dashed dotted dashdot") |
|---|
| 641 | # If for example four lines are overlaid e.g I Q U V |
|---|
| 642 | # 'I' will be 'solid', 'Q' will be 'dashed', |
|---|
| 643 | # U will be 'dotted' and 'V' will be 'dashdot'. |
|---|
| 644 | """ |
|---|
| 645 | if isinstance(linestyles,str): |
|---|
| 646 | linestyles = linestyles.split() |
|---|
| 647 | self._plotter.palette(color=0,linestyle=0,linestyles=linestyles) |
|---|
| 648 | if self._data: self.plot() |
|---|
| 649 | |
|---|
| 650 | def save(self, filename=None, orientation=None, dpi=None): |
|---|
| 651 | """ |
|---|
| 652 | Save the plot to a file. The know formats are 'png', 'ps', 'eps'. |
|---|
| 653 | Parameters: |
|---|
| 654 | filename: The name of the output file. This is optional |
|---|
| 655 | and autodetects the image format from the file |
|---|
| 656 | suffix. If non filename is specified a file |
|---|
| 657 | called 'yyyymmdd_hhmmss.png' is created in the |
|---|
| 658 | current directory. |
|---|
| 659 | orientation: optional parameter for postscript only (not eps). |
|---|
| 660 | 'landscape', 'portrait' or None (default) are valid. |
|---|
| 661 | If None is choosen for 'ps' output, the plot is |
|---|
| 662 | automatically oriented to fill the page. |
|---|
| 663 | dpi: The dpi of the output non-ps plot |
|---|
| 664 | """ |
|---|
| 665 | self._plotter.save(filename,orientation,dpi) |
|---|
| 666 | return |
|---|
| 667 | |
|---|
| 668 | def set_cursor(self, row=None,beam=None,IF=None,pol=None, refresh=True): |
|---|
| 669 | """ |
|---|
| 670 | Specify a 'cursor' for plotting selected spectra. Time (rows), |
|---|
| 671 | Beam, IF, Polarisation ranges can be specified. |
|---|
| 672 | Parameters: |
|---|
| 673 | Default for all paramaters is to select all available |
|---|
| 674 | row: selects the rows (time stamps) to be plotted, this has |
|---|
| 675 | to be a vector of row indices, e.g. row=[0,2,5] or row=[2] |
|---|
| 676 | beam: select a range of beams |
|---|
| 677 | IF: select a range of IFs |
|---|
| 678 | pol: select Polarisations for plotting these can be by index |
|---|
| 679 | (raw polarisations (default)) or by names any of: |
|---|
| 680 | ["I", "Q", "U", "V"] or |
|---|
| 681 | ["I", "Plinear", "Pangle", "V"] or |
|---|
| 682 | ["XX", "YY", "Real(XY)", "Imag(XY)"] or |
|---|
| 683 | ["RR", "LL"] |
|---|
| 684 | Example: |
|---|
| 685 | plotter.set_mode('pol','time') |
|---|
| 686 | plotter.plot(myscan) # plots all raw polarisations colour stacked |
|---|
| 687 | plotter.set_cursor(pol=["I"]) # plot "I" only for all rows |
|---|
| 688 | # plot "I" only for two time stamps row=0 and row=2 |
|---|
| 689 | plotter.set_cursor(row=[0,2],pol=["I"]) |
|---|
| 690 | |
|---|
| 691 | Note: |
|---|
| 692 | Be careful to select only exisiting polarisations. |
|---|
| 693 | """ |
|---|
| 694 | if not self._data: |
|---|
| 695 | print "Can only set cursor after a first call to plot()" |
|---|
| 696 | return |
|---|
| 697 | |
|---|
| 698 | n = self._data[0].nrow() |
|---|
| 699 | if row is None: |
|---|
| 700 | self._cursor["t"] = range(n) |
|---|
| 701 | else: |
|---|
| 702 | for i in row: |
|---|
| 703 | if i < 0 or i >= n: |
|---|
| 704 | print "Row index '%d' out of range" % i |
|---|
| 705 | return |
|---|
| 706 | self._cursor["t"] = row |
|---|
| 707 | |
|---|
| 708 | n = self._data[0].nbeam() |
|---|
| 709 | if beam is None: |
|---|
| 710 | self._cursor["b"] = range(n) |
|---|
| 711 | else: |
|---|
| 712 | for i in beam: |
|---|
| 713 | if i < 0 or i >= n: |
|---|
| 714 | print "Beam index '%d' out of range" % i |
|---|
| 715 | return |
|---|
| 716 | self._cursor["b"] = beam |
|---|
| 717 | |
|---|
| 718 | n = self._data[0].nif() |
|---|
| 719 | if IF is None: |
|---|
| 720 | self._cursor["i"] = range(n) |
|---|
| 721 | else: |
|---|
| 722 | for i in IF: |
|---|
| 723 | if i < 0 or i >= n: |
|---|
| 724 | print "IF index '%d' out of range" %i |
|---|
| 725 | return |
|---|
| 726 | self._cursor["i"] = IF |
|---|
| 727 | |
|---|
| 728 | n = self._data[0].npol() |
|---|
| 729 | dstokes = {"I":0,"Q":1,"U":2,"V":3} |
|---|
| 730 | dstokes2 = {"I":0,"Plinear":1,"Pangle":2,"V":3} |
|---|
| 731 | draw = {"XX":0, "YY":1,"Real(XY)":2, "Imag(XY)":3} |
|---|
| 732 | dcirc = { "RR":0,"LL":1}#,"Real(RL)":2,"Imag(RL)":3} |
|---|
| 733 | |
|---|
| 734 | if pol is None: |
|---|
| 735 | self._cursor["p"] = range(n) |
|---|
| 736 | self._polmode = ["raw" for i in range(n)] |
|---|
| 737 | else: |
|---|
| 738 | if isinstance(pol,str): |
|---|
| 739 | pol = pol.split() |
|---|
| 740 | polmode = [] |
|---|
| 741 | pols = [] |
|---|
| 742 | for i in pol: |
|---|
| 743 | if isinstance(i,str): |
|---|
| 744 | if draw.has_key(i): |
|---|
| 745 | pols.append(draw.get(i)) |
|---|
| 746 | polmode.append("raw") |
|---|
| 747 | elif dstokes.has_key(i): |
|---|
| 748 | pols.append(dstokes.get(i)) |
|---|
| 749 | polmode.append("stokes") |
|---|
| 750 | elif dstokes2.has_key(i): |
|---|
| 751 | pols.append(dstokes2.get(i)) |
|---|
| 752 | polmode.append("stokes2") |
|---|
| 753 | elif dcirc.has_key(i): |
|---|
| 754 | pols.append(dcirc.get(i)) |
|---|
| 755 | polmode.append("circular") |
|---|
| 756 | else: |
|---|
| 757 | print "Pol type '%s' not valid" %i |
|---|
| 758 | return |
|---|
| 759 | elif 0 > i >= n: |
|---|
| 760 | print "Pol index '%d' out of range" %i |
|---|
| 761 | return |
|---|
| 762 | else: |
|---|
| 763 | pols.append(i) |
|---|
| 764 | polmode.append("raw") |
|---|
| 765 | self._cursor["p"] = pols |
|---|
| 766 | self._polmode = polmode |
|---|
| 767 | if self._data and refresh: self.plot() |
|---|
| 768 | |
|---|
| 769 | def set_mask(self, mask=None, pol=None): |
|---|
| 770 | if not self._data: |
|---|
| 771 | print "Can only set cursor after a first call to plot()" |
|---|
| 772 | return |
|---|
| 773 | if isinstance(mask, array): |
|---|
| 774 | self._usermask = mask |
|---|
| 775 | if isinstance(mask, list): |
|---|
| 776 | self._usermask = array(mask) |
|---|
| 777 | if mask is None and pol is None: |
|---|
| 778 | self._usermask = None |
|---|
| 779 | self._usermaskspectra = None |
|---|
| 780 | |
|---|
| 781 | dstokes = {"I":0,"Q":1,"U":2,"V":3} |
|---|
| 782 | dstokes2 = {"I":0,"Plinear":1,"Pangle":2,"V":3} |
|---|
| 783 | draw = {"XX":0, "YY":1,"Real(XY)":2, "Imag(XY)":3} |
|---|
| 784 | dcirc = { "RR":0,"LL":1}#,"Real(RL)":2,"Imag(RL)":3} |
|---|
| 785 | if isinstance(pol, str): |
|---|
| 786 | pol = pol.split() |
|---|
| 787 | if isinstance(pol, list): |
|---|
| 788 | if isinstance(pol[0], str): |
|---|
| 789 | pass |
|---|
| 790 | else: |
|---|
| 791 | cpos = self._cursor[self._stacking] |
|---|
| 792 | self._usermaskspectra =filter(lambda i: filter(lambda j: j==i ,cpos),pol) |
|---|
| 793 | else: |
|---|
| 794 | return |
|---|
| 795 | self.plot() |
|---|
| 796 | |
|---|
| 797 | def _get_pollabel(self, scan, polmode): |
|---|
| 798 | tlab = "" |
|---|
| 799 | if polmode == "stokes": |
|---|
| 800 | tlab = scan._getpolarizationlabel(0,1,0) |
|---|
| 801 | elif polmode == "stokes2": |
|---|
| 802 | tlab = scan._getpolarizationlabel(0,1,1) |
|---|
| 803 | elif polmode == "circular": |
|---|
| 804 | tlab = scan._getpolarizationlabel(0,0,0) |
|---|
| 805 | else: |
|---|
| 806 | tlab = scan._getpolarizationlabel(1,0,0) |
|---|
| 807 | return tlab |
|---|
| 808 | |
|---|
| 809 | def _slice_indeces(self, data): |
|---|
| 810 | mn = self._minmaxx[0] |
|---|
| 811 | mx = self._minmaxx[1] |
|---|
| 812 | asc = data[0] < data[-1] |
|---|
| 813 | start=0 |
|---|
| 814 | end = len(data)-1 |
|---|
| 815 | inc = 1 |
|---|
| 816 | if not asc: |
|---|
| 817 | start = len(data)-1 |
|---|
| 818 | end = 0 |
|---|
| 819 | inc = -1 |
|---|
| 820 | # find min index |
|---|
| 821 | while data[start] < mn: |
|---|
| 822 | start+= inc |
|---|
| 823 | # find max index |
|---|
| 824 | while data[end] > mx: |
|---|
| 825 | end-=inc |
|---|
| 826 | end +=1 |
|---|
| 827 | if start > end: |
|---|
| 828 | return end,start |
|---|
| 829 | return start,end |
|---|
| 830 | |
|---|
| 831 | def _reset(self): |
|---|
| 832 | self._usermask = None |
|---|
| 833 | self._usermaskspectra = None |
|---|
| 834 | self.set_cursor(refresh=False) |
|---|
