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