| 1 | from asap.parameters import rcParams
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| 2 | from asap.selector import selector
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| 3 | from asap.scantable import scantable
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| 4 | from asap.logging import asaplog, asaplog_post_dec
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| 5 | import matplotlib.axes
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| 6 | from matplotlib.font_manager import FontProperties
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| 7 | from matplotlib.text import Text
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| 8 |
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| 9 | import re
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| 10 |
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| 11 | class asapplotter:
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| 12 | """
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| 13 | The ASAP plotter.
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| 14 | By default the plotter is set up to plot polarisations
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| 15 | 'colour stacked' and scantables across panels.
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| 16 |
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| 17 | .. note::
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| 18 |
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| 19 | Currenly it only plots 'spectra' not Tsys or
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| 20 | other variables.
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| 21 |
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| 22 | """
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| 23 | def __init__(self, visible=None , **kwargs):
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| 24 | self._visible = rcParams['plotter.gui']
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| 25 | if visible is not None:
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| 26 | self._visible = visible
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| 27 | self._plotter = self._newplotter(**kwargs)
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| 28 | # additional tool bar
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| 29 | self._plotter.figmgr.casabar=self._newcasabar()
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| 30 |
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| 31 | self._panelling = None
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| 32 | self._stacking = None
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| 33 | self.set_panelling()
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| 34 | self.set_stacking()
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| 35 | self._rows = None
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| 36 | self._cols = None
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| 37 | self._autoplot = False
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| 38 | self._minmaxx = None
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| 39 | self._minmaxy = None
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| 40 | self._datamask = None
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| 41 | self._data = None
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| 42 | self._lmap = None
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| 43 | self._title = None
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| 44 | self._ordinate = None
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| 45 | self._abcissa = None
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| 46 | self._abcunit = None
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| 47 | self._usermask = []
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| 48 | self._maskselection = None
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| 49 | self._selection = selector()
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| 50 | self._hist = rcParams['plotter.histogram']
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| 51 | self._fp = FontProperties()
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| 52 | self._panellayout = self.set_panellayout(refresh=False)
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| 53 | self._offset = None
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| 54 | self._startrow = 0
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| 55 | self._ipanel = -1
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| 56 | self._panelrows = []
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| 57 |
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| 58 | def _translate(self, instr):
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| 59 | keys = "s b i p t r".split()
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| 60 | if isinstance(instr, str):
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| 61 | for key in keys:
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| 62 | if instr.lower().startswith(key):
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| 63 | return key
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| 64 | return None
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| 65 |
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| 66 | def _newplotter(self, **kwargs):
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| 67 | backend=matplotlib.get_backend()
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| 68 | if not self._visible:
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| 69 | from asap.asaplot import asaplot
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| 70 | elif backend == 'TkAgg':
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| 71 | from asap.asaplotgui import asaplotgui as asaplot
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| 72 | elif backend == 'Qt4Agg':
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| 73 | from asap.asaplotgui_qt4 import asaplotgui as asaplot
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| 74 | elif backend == 'GTkAgg':
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| 75 | from asap.asaplotgui_gtk import asaplotgui as asaplot
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| 76 | else:
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| 77 | from asap.asaplot import asaplot
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| 78 | return asaplot(**kwargs)
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| 79 |
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| 80 | def _newcasabar(self):
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| 81 | backend=matplotlib.get_backend()
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| 82 | if self._visible and backend == "TkAgg":
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| 83 | from asap.casatoolbar import CustomToolbarTkAgg
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| 84 | return CustomToolbarTkAgg(self)
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| 85 | else: return None
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| 86 |
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| 87 | @asaplog_post_dec
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| 88 | def plot(self, scan=None):
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| 89 | """
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| 90 | Plot a scantable.
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| 91 | Parameters:
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| 92 | scan: a scantable
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| 93 | Note:
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| 94 | If a scantable was specified in a previous call
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| 95 | to plot, no argument has to be given to 'replot'
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| 96 | NO checking is done that the abcissas of the scantable
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| 97 | are consistent e.g. all 'channel' or all 'velocity' etc.
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| 98 | """
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| 99 | self._startrow = 0
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| 100 | self._ipanel = -1
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| 101 | if self._plotter.is_dead:
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| 102 | if hasattr(self._plotter.figmgr,'casabar'):
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| 103 | del self._plotter.figmgr.casabar
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| 104 | self._plotter = self._newplotter()
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| 105 | self._plotter.figmgr.casabar=self._newcasabar()
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| 106 | if self._plotter.figmgr.casabar:
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| 107 | self._plotter.figmgr.casabar.set_pagecounter(1)
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| 108 | self._panelrows = []
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| 109 | self._plotter.hold()
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| 110 | #self._plotter.clear()
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| 111 | if not self._data and not scan:
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| 112 | msg = "Input is not a scantable"
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| 113 | raise TypeError(msg)
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| 114 | if scan:
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| 115 | self.set_data(scan, refresh=False)
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| 116 | self._plot(self._data)
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| 117 | if self._minmaxy is not None:
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| 118 | self._plotter.set_limits(ylim=self._minmaxy)
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| 119 | if self._plotter.figmgr.casabar: self._plotter.figmgr.casabar.enable_button()
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| 120 | self._plotter.release()
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| 121 | self._plotter.tidy()
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| 122 | self._plotter.show(hardrefresh=False)
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| 123 | return
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| 124 |
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| 125 | def gca(self):
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| 126 | return self._plotter.figure.gca()
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| 127 |
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| 128 | def refresh(self):
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| 129 | """Do a soft refresh"""
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| 130 | self._plotter.figure.show()
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| 131 |
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| 132 | def create_mask(self, nwin=1, panel=0, color=None):
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| 133 | """
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| 134 | Interactively define a mask. It retruns a mask that is equivalent to
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| 135 | the one created manually with scantable.create_mask.
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| 136 | Parameters:
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| 137 | nwin: The number of mask windows to create interactively
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| 138 | default is 1.
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| 139 | panel: Which panel to use for mask selection. This is useful
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| 140 | if different IFs are spread over panels (default 0)
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| 141 | """
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| 142 | if self._data is None:
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| 143 | return []
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| 144 | outmask = []
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| 145 | self._plotter.subplot(panel)
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| 146 | xmin, xmax = self._plotter.axes.get_xlim()
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| 147 | marg = 0.05*(xmax-xmin)
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| 148 | self._plotter.axes.set_xlim(xmin-marg, xmax+marg)
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| 149 | self.refresh()
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| 150 |
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| 151 | def cleanup(lines=False, texts=False, refresh=False):
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| 152 | if lines:
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| 153 | del self._plotter.axes.lines[-1]
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| 154 | if texts:
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| 155 | del self._plotter.axes.texts[-1]
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| 156 | if refresh:
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| 157 | self.refresh()
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| 158 |
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| 159 | for w in xrange(nwin):
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| 160 | wpos = []
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| 161 | self.text(0.05,1.0, "Add start boundary",
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| 162 | coords="relative", fontsize=10)
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| 163 | point = self._plotter.get_point()
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| 164 | cleanup(texts=True)
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| 165 | if point is None:
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| 166 | continue
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| 167 | wpos.append(point[0])
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| 168 | self.axvline(wpos[0], color=color)
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| 169 | self.text(0.05,1.0, "Add end boundary", coords="relative", fontsize=10)
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| 170 | point = self._plotter.get_point()
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| 171 | cleanup(texts=True, lines=True)
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| 172 | if point is None:
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| 173 | self.refresh()
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| 174 | continue
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| 175 | wpos.append(point[0])
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| 176 | self.axvspan(wpos[0], wpos[1], alpha=0.1,
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| 177 | edgecolor=color, facecolor=color)
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| 178 | ymin, ymax = self._plotter.axes.get_ylim()
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| 179 | outmask.append(wpos)
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| 180 |
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| 181 | self._plotter.axes.set_xlim(xmin, xmax)
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| 182 | self.refresh()
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| 183 | if len(outmask) > 0:
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| 184 | return self._data.create_mask(*outmask)
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| 185 | return []
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| 186 |
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| 187 | # forwards to matplotlib axes
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| 188 | def text(self, *args, **kwargs):
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| 189 | if kwargs.has_key("interactive"):
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| 190 | if kwargs.pop("interactive"):
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| 191 | pos = self._plotter.get_point()
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| 192 | args = tuple(pos)+args
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| 193 | self._axes_callback("text", *args, **kwargs)
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| 194 |
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| 195 | text.__doc__ = matplotlib.axes.Axes.text.__doc__
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| 196 |
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| 197 | def arrow(self, *args, **kwargs):
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| 198 | if kwargs.has_key("interactive"):
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| 199 | if kwargs.pop("interactive"):
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| 200 | pos = self._plotter.get_region()
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| 201 | dpos = (pos[0][0], pos[0][1],
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| 202 | pos[1][0]-pos[0][0],
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| 203 | pos[1][1] - pos[0][1])
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| 204 | args = dpos + args
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| 205 | self._axes_callback("arrow", *args, **kwargs)
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| 206 |
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| 207 | arrow.__doc__ = matplotlib.axes.Axes.arrow.__doc__
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| 208 |
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| 209 | def annotate(self, text, xy=None, xytext=None, **kwargs):
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| 210 | if kwargs.has_key("interactive"):
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| 211 | if kwargs.pop("interactive"):
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| 212 | xy = self._plotter.get_point()
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| 213 | xytext = self._plotter.get_point()
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| 214 | if not kwargs.has_key("arrowprops"):
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| 215 | kwargs["arrowprops"] = dict(arrowstyle="->")
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| 216 | self._axes_callback("annotate", text, xy, xytext, **kwargs)
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| 217 |
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| 218 | annotate.__doc__ = matplotlib.axes.Axes.annotate.__doc__
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| 219 |
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| 220 | def axvline(self, *args, **kwargs):
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| 221 | if kwargs.has_key("interactive"):
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| 222 | if kwargs.pop("interactive"):
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| 223 | pos = self._plotter.get_point()
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| 224 | args = (pos[0],)+args
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| 225 | self._axes_callback("axvline", *args, **kwargs)
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| 226 |
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| 227 | axvline.__doc__ = matplotlib.axes.Axes.axvline.__doc__
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| 228 |
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| 229 | def axhline(self, *args, **kwargs):
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| 230 | if kwargs.has_key("interactive"):
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| 231 | if kwargs.pop("interactive"):
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| 232 | pos = self._plotter.get_point()
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| 233 | args = (pos[1],)+args
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| 234 | self._axes_callback("axhline", *args, **kwargs)
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| 235 |
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| 236 | axhline.__doc__ = matplotlib.axes.Axes.axhline.__doc__
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| 237 |
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| 238 | def axvspan(self, *args, **kwargs):
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| 239 | if kwargs.has_key("interactive"):
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| 240 | if kwargs.pop("interactive"):
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| 241 | pos = self._plotter.get_region()
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| 242 | dpos = (pos[0][0], pos[1][0])
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| 243 | args = dpos + args
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| 244 | self._axes_callback("axvspan", *args, **kwargs)
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| 245 | # hack to preventy mpl from redrawing the patch
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| 246 | # it seem to convert the patch into lines on every draw.
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| 247 | # This doesn't happen in a test script???
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| 248 | #del self._plotter.axes.patches[-1]
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| 249 |
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| 250 | axvspan.__doc__ = matplotlib.axes.Axes.axvspan.__doc__
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| 251 |
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| 252 | def axhspan(self, *args, **kwargs):
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| 253 | if kwargs.has_key("interactive"):
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| 254 | if kwargs.pop("interactive"):
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| 255 | pos = self._plotter.get_region()
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| 256 | dpos = (pos[0][1], pos[1][1])
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| 257 | args = dpos + args
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| 258 | self._axes_callback("axhspan", *args, **kwargs)
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| 259 | # hack to preventy mpl from redrawing the patch
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| 260 | # it seem to convert the patch into lines on every draw.
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| 261 | # This doesn't happen in a test script???
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| 262 | #del self._plotter.axes.patches[-1]
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| 263 |
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| 264 | axhspan.__doc__ = matplotlib.axes.Axes.axhspan.__doc__
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| 265 |
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| 266 | def _axes_callback(self, axesfunc, *args, **kwargs):
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| 267 | panel = 0
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| 268 | if kwargs.has_key("panel"):
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| 269 | panel = kwargs.pop("panel")
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| 270 | coords = None
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| 271 | if kwargs.has_key("coords"):
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| 272 | coords = kwargs.pop("coords")
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| 273 | if coords.lower() == 'world':
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| 274 | kwargs["transform"] = self._plotter.axes.transData
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| 275 | elif coords.lower() == 'relative':
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| 276 | kwargs["transform"] = self._plotter.axes.transAxes
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| 277 | self._plotter.subplot(panel)
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| 278 | self._plotter.axes.set_autoscale_on(False)
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| 279 | getattr(self._plotter.axes, axesfunc)(*args, **kwargs)
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| 280 | self._plotter.show(False)
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| 281 | self._plotter.axes.set_autoscale_on(True)
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| 282 | # end matplotlib.axes fowarding functions
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| 283 |
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| 284 | @asaplog_post_dec
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| 285 | def set_data(self, scan, refresh=True):
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| 286 | """
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| 287 | Set a scantable to plot.
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| 288 | Parameters:
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| 289 | scan: a scantable
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| 290 | refresh: True (default) or False. If True, the plot is
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| 291 | replotted based on the new parameter setting(s).
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| 292 | Otherwise,the parameter(s) are set without replotting.
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| 293 | Note:
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| 294 | The user specified masks and data selections will be reset
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| 295 | if a new scantable is set. This method should be called before
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| 296 | setting data selections (set_selection) and/or masks (set_mask).
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| 297 | """
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| 298 | from asap import scantable
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| 299 | if isinstance(scan, scantable):
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| 300 | if self._data is not None:
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| 301 | if scan != self._data:
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| 302 | self._data = scan
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| 303 | # reset
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| 304 | self._reset()
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| 305 | msg = "A new scantable is set to the plotter. "\
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| 306 | "The masks and data selections are reset."
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| 307 | asaplog.push( msg )
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| 308 | else:
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| 309 | self._data = scan
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| 310 | self._reset()
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| 311 | else:
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| 312 | msg = "Input is not a scantable"
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| 313 | raise TypeError(msg)
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| 314 |
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| 315 | # ranges become invalid when unit changes
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| 316 | if self._abcunit and self._abcunit != self._data.get_unit():
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| 317 | self._minmaxx = None
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| 318 | self._minmaxy = None
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| 319 | self._abcunit = self._data.get_unit()
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| 320 | self._datamask = None
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| 321 | if refresh: self.plot()
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| 322 |
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| 323 | @asaplog_post_dec
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| 324 | def set_mode(self, stacking=None, panelling=None, refresh=True):
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| 325 | """
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| 326 | Set the plots look and feel, i.e. what you want to see on the plot.
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| 327 | Parameters:
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| 328 | stacking: tell the plotter which variable to plot
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| 329 | as line colour overlays (default 'pol')
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| 330 | panelling: tell the plotter which variable to plot
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| 331 | across multiple panels (default 'scan'
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| 332 | refresh: True (default) or False. If True, the plot is
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| 333 | replotted based on the new parameter setting(s).
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| 334 | Otherwise,the parameter(s) are set without replotting.
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| 335 | Note:
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| 336 | Valid modes are:
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| 337 | 'beam' 'Beam' 'b': Beams
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| 338 | 'if' 'IF' 'i': IFs
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| 339 | 'pol' 'Pol' 'p': Polarisations
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| 340 | 'scan' 'Scan' 's': Scans
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| 341 | 'time' 'Time' 't': Times
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| 342 | """
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| 343 | msg = "Invalid mode"
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| 344 | if not self.set_panelling(panelling) or \
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| 345 | not self.set_stacking(stacking):
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| 346 | raise TypeError(msg)
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| 347 | if self._panelling == 'r':
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| 348 | self._stacking = '_r'
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| 349 | elif self._stacking == 'r':
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| 350 | self._panelling = '_r'
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| 351 | if refresh and self._data: self.plot(self._data)
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| 352 | return
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| 353 |
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| 354 | def set_panelling(self, what=None):
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| 355 | """Set the 'panelling' mode i.e. which type of spectra should be
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| 356 | spread across different panels.
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| 357 | """
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| 358 |
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| 359 | mode = what
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| 360 | if mode is None:
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| 361 | mode = rcParams['plotter.panelling']
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| 362 | md = self._translate(mode)
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| 363 | if md:
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| 364 | self._panelling = md
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| 365 | self._title = None
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| 366 | if md == 'r':
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| 367 | self._stacking = '_r'
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| 368 | # you need to reset counters for multi page plotting
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| 369 | self._reset_counters()
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| 370 | return True
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| 371 | return False
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| 372 |
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| 373 | def set_layout(self,rows=None,cols=None,refresh=True):
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| 374 | """
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| 375 | Set the multi-panel layout, i.e. how many rows and columns plots
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| 376 | are visible.
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| 377 | Parameters:
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| 378 | rows: The number of rows of plots
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| 379 | cols: The number of columns of plots
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| 380 | refresh: True (default) or False. If True, the plot is
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| 381 | replotted based on the new parameter setting(s).
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| 382 | Otherwise,the parameter(s) are set without replotting.
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| 383 | Note:
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| 384 | If no argument is given, the potter reverts to its auto-plot
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| 385 | behaviour.
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| 386 | """
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| 387 | self._rows = rows
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| 388 | self._cols = cols
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| 389 | if refresh and self._data: self.plot(self._data)
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| 390 | return
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| 391 |
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| 392 | def set_stacking(self, what=None):
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| 393 | """Set the 'stacking' mode i.e. which type of spectra should be
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| 394 | overlayed.
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| 395 | """
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| 396 | mode = what
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| 397 | if mode is None:
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|---|
| 398 | mode = rcParams['plotter.stacking']
|
|---|
| 399 | md = self._translate(mode)
|
|---|
| 400 | if md:
|
|---|
| 401 | self._stacking = md
|
|---|
| 402 | self._lmap = None
|
|---|
| 403 | if md == 'r':
|
|---|
| 404 | self._panelling = '_r'
|
|---|
| 405 | # you need to reset counters for multi page plotting
|
|---|
| 406 | self._reset_counters()
|
|---|
| 407 | return True
|
|---|
| 408 | return False
|
|---|
| 409 |
|
|---|
| 410 | def _reset_counters(self):
|
|---|
| 411 | self._startrow = 0
|
|---|
| 412 | self._ipanel = -1
|
|---|
| 413 | self._panelrows = []
|
|---|
| 414 |
|
|---|
| 415 | def set_range(self,xstart=None,xend=None,ystart=None,yend=None,refresh=True, offset=None):
|
|---|
| 416 | """
|
|---|
| 417 | Set the range of interest on the abcissa of the plot
|
|---|
| 418 | Parameters:
|
|---|
| 419 | [x,y]start,[x,y]end: The start and end points of the 'zoom' window
|
|---|
| 420 | refresh: True (default) or False. If True, the plot is
|
|---|
| 421 | replotted based on the new parameter setting(s).
|
|---|
| 422 | Otherwise,the parameter(s) are set without replotting.
|
|---|
| 423 | offset: shift the abcissa by the given amount. The abcissa label will
|
|---|
| 424 | have '(relative)' appended to it.
|
|---|
| 425 | Note:
|
|---|
| 426 | These become non-sensical when the unit changes.
|
|---|
| 427 | use plotter.set_range() without parameters to reset
|
|---|
| 428 |
|
|---|
| 429 | """
|
|---|
| 430 | self._offset = offset
|
|---|
| 431 | if xstart is None and xend is None:
|
|---|
| 432 | self._minmaxx = None
|
|---|
| 433 | else:
|
|---|
| 434 | self._minmaxx = [xstart,xend]
|
|---|
| 435 | if ystart is None and yend is None:
|
|---|
| 436 | self._minmaxy = None
|
|---|
| 437 | else:
|
|---|
| 438 | self._minmaxy = [ystart,yend]
|
|---|
| 439 | if refresh and self._data: self.plot(self._data)
|
|---|
| 440 | return
|
|---|
| 441 |
|
|---|
| 442 | def set_legend(self, mp=None, fontsize = None, mode = 0, refresh=True):
|
|---|
| 443 | """
|
|---|
| 444 | Specify a mapping for the legend instead of using the default
|
|---|
| 445 | indices:
|
|---|
| 446 | Parameters:
|
|---|
| 447 | mp: a list of 'strings'. This should have the same length
|
|---|
| 448 | as the number of elements on the legend and then maps
|
|---|
| 449 | to the indeces in order. It is possible to uses latex
|
|---|
| 450 | math expression. These have to be enclosed in r'',
|
|---|
| 451 | e.g. r'$x^{2}$'
|
|---|
| 452 | fontsize: The font size of the label (default None)
|
|---|
| 453 | mode: where to display the legend
|
|---|
| 454 | Any other value for loc else disables the legend:
|
|---|
| 455 | 0: auto
|
|---|
| 456 | 1: upper right
|
|---|
| 457 | 2: upper left
|
|---|
| 458 | 3: lower left
|
|---|
| 459 | 4: lower right
|
|---|
| 460 | 5: right
|
|---|
| 461 | 6: center left
|
|---|
| 462 | 7: center right
|
|---|
| 463 | 8: lower center
|
|---|
| 464 | 9: upper center
|
|---|
| 465 | 10: center
|
|---|
| 466 | refresh: True (default) or False. If True, the plot is
|
|---|
| 467 | replotted based on the new parameter setting(s).
|
|---|
| 468 | Otherwise,the parameter(s) are set without replotting.
|
|---|
| 469 |
|
|---|
| 470 | Example:
|
|---|
| 471 | If the data has two IFs/rest frequencies with index 0 and 1
|
|---|
| 472 | for CO and SiO:
|
|---|
| 473 | plotter.set_stacking('i')
|
|---|
| 474 | plotter.set_legend(['CO','SiO'])
|
|---|
| 475 | plotter.plot()
|
|---|
| 476 | plotter.set_legend([r'$^{12}CO$', r'SiO'])
|
|---|
| 477 | """
|
|---|
| 478 | self._lmap = mp
|
|---|
| 479 | self._plotter.legend(mode)
|
|---|
| 480 | if isinstance(fontsize, int):
|
|---|
| 481 | from matplotlib import rc as rcp
|
|---|
| 482 | rcp('legend', fontsize=fontsize)
|
|---|
| 483 | if refresh and self._data: self.plot(self._data)
|
|---|
| 484 | return
|
|---|
| 485 |
|
|---|
| 486 | def set_title(self, title=None, fontsize=None, refresh=True):
|
|---|
| 487 | """
|
|---|
| 488 | Set the title of the plot. If multiple panels are plotted,
|
|---|
| 489 | multiple titles have to be specified.
|
|---|
| 490 | Parameters:
|
|---|
| 491 | refresh: True (default) or False. If True, the plot is
|
|---|
| 492 | replotted based on the new parameter setting(s).
|
|---|
| 493 | Otherwise,the parameter(s) are set without replotting.
|
|---|
| 494 | Example:
|
|---|
| 495 | # two panels are visible on the plotter
|
|---|
| 496 | plotter.set_title(["First Panel","Second Panel"])
|
|---|
| 497 | """
|
|---|
| 498 | self._title = title
|
|---|
| 499 | if isinstance(fontsize, int):
|
|---|
| 500 | from matplotlib import rc as rcp
|
|---|
| 501 | rcp('axes', titlesize=fontsize)
|
|---|
| 502 | if refresh and self._data: self.plot(self._data)
|
|---|
| 503 | return
|
|---|
| 504 |
|
|---|
| 505 | def set_ordinate(self, ordinate=None, fontsize=None, refresh=True):
|
|---|
| 506 | """
|
|---|
| 507 | Set the y-axis label of the plot. If multiple panels are plotted,
|
|---|
| 508 | multiple labels have to be specified.
|
|---|
| 509 | Parameters:
|
|---|
| 510 | ordinate: a list of ordinate labels. None (default) let
|
|---|
| 511 | data determine the labels
|
|---|
| 512 | refresh: True (default) or False. If True, the plot is
|
|---|
| 513 | replotted based on the new parameter setting(s).
|
|---|
| 514 | Otherwise,the parameter(s) are set without replotting.
|
|---|
| 515 | Example:
|
|---|
| 516 | # two panels are visible on the plotter
|
|---|
| 517 | plotter.set_ordinate(["First Y-Axis","Second Y-Axis"])
|
|---|
| 518 | """
|
|---|
| 519 | self._ordinate = ordinate
|
|---|
| 520 | if isinstance(fontsize, int):
|
|---|
| 521 | from matplotlib import rc as rcp
|
|---|
| 522 | rcp('axes', labelsize=fontsize)
|
|---|
| 523 | rcp('ytick', labelsize=fontsize)
|
|---|
| 524 | if refresh and self._data: self.plot(self._data)
|
|---|
| 525 | return
|
|---|
| 526 |
|
|---|
| 527 | def set_abcissa(self, abcissa=None, fontsize=None, refresh=True):
|
|---|
| 528 | """
|
|---|
| 529 | Set the x-axis label of the plot. If multiple panels are plotted,
|
|---|
| 530 | multiple labels have to be specified.
|
|---|
| 531 | Parameters:
|
|---|
| 532 | abcissa: a list of abcissa labels. None (default) let
|
|---|
| 533 | data determine the labels
|
|---|
| 534 | refresh: True (default) or False. If True, the plot is
|
|---|
| 535 | replotted based on the new parameter setting(s).
|
|---|
| 536 | Otherwise,the parameter(s) are set without replotting.
|
|---|
| 537 | Example:
|
|---|
| 538 | # two panels are visible on the plotter
|
|---|
| 539 | plotter.set_ordinate(["First X-Axis","Second X-Axis"])
|
|---|
| 540 | """
|
|---|
| 541 | self._abcissa = abcissa
|
|---|
| 542 | if isinstance(fontsize, int):
|
|---|
| 543 | from matplotlib import rc as rcp
|
|---|
| 544 | rcp('axes', labelsize=fontsize)
|
|---|
| 545 | rcp('xtick', labelsize=fontsize)
|
|---|
| 546 | if refresh and self._data: self.plot(self._data)
|
|---|
| 547 | return
|
|---|
| 548 |
|
|---|
| 549 | def set_colors(self, colmap, refresh=True):
|
|---|
| 550 | """
|
|---|
| 551 | Set the colours to be used. The plotter will cycle through
|
|---|
| 552 | these colours when lines are overlaid (stacking mode).
|
|---|
| 553 | Parameters:
|
|---|
| 554 | colmap: a list of colour names
|
|---|
| 555 | refresh: True (default) or False. If True, the plot is
|
|---|
| 556 | replotted based on the new parameter setting(s).
|
|---|
| 557 | Otherwise,the parameter(s) are set without replotting.
|
|---|
| 558 | Example:
|
|---|
| 559 | plotter.set_colors("red green blue")
|
|---|
| 560 | # If for example four lines are overlaid e.g I Q U V
|
|---|
| 561 | # 'I' will be 'red', 'Q' will be 'green', U will be 'blue'
|
|---|
| 562 | # and 'V' will be 'red' again.
|
|---|
| 563 | """
|
|---|
| 564 | if isinstance(colmap,str):
|
|---|
| 565 | colmap = colmap.split()
|
|---|
| 566 | self._plotter.palette(0, colormap=colmap)
|
|---|
| 567 | if refresh and self._data: self.plot(self._data)
|
|---|
| 568 |
|
|---|
| 569 | # alias for english speakers
|
|---|
| 570 | set_colours = set_colors
|
|---|
| 571 |
|
|---|
| 572 | def set_histogram(self, hist=True, linewidth=None, refresh=True):
|
|---|
| 573 | """
|
|---|
| 574 | Enable/Disable histogram-like plotting.
|
|---|
| 575 | Parameters:
|
|---|
| 576 | hist: True (default) or False. The fisrt default
|
|---|
| 577 | is taken from the .asaprc setting
|
|---|
| 578 | plotter.histogram
|
|---|
| 579 | refresh: True (default) or False. If True, the plot is
|
|---|
| 580 | replotted based on the new parameter setting(s).
|
|---|
| 581 | Otherwise,the parameter(s) are set without replotting.
|
|---|
| 582 | """
|
|---|
| 583 | self._hist = hist
|
|---|
| 584 | if isinstance(linewidth, float) or isinstance(linewidth, int):
|
|---|
| 585 | from matplotlib import rc as rcp
|
|---|
| 586 | rcp('lines', linewidth=linewidth)
|
|---|
| 587 | if refresh and self._data: self.plot(self._data)
|
|---|
| 588 |
|
|---|
| 589 | def set_linestyles(self, linestyles=None, linewidth=None, refresh=True):
|
|---|
| 590 | """
|
|---|
| 591 | Set the linestyles to be used. The plotter will cycle through
|
|---|
| 592 | these linestyles when lines are overlaid (stacking mode) AND
|
|---|
| 593 | only one color has been set.
|
|---|
| 594 | Parameters:
|
|---|
| 595 | linestyles: a list of linestyles to use.
|
|---|
| 596 | 'line', 'dashed', 'dotted', 'dashdot',
|
|---|
| 597 | 'dashdotdot' and 'dashdashdot' are
|
|---|
| 598 | possible
|
|---|
| 599 | refresh: True (default) or False. If True, the plot is
|
|---|
| 600 | replotted based on the new parameter setting(s).
|
|---|
| 601 | Otherwise,the parameter(s) are set without replotting.
|
|---|
| 602 | Example:
|
|---|
| 603 | plotter.set_colors("black")
|
|---|
| 604 | plotter.set_linestyles("line dashed dotted dashdot")
|
|---|
| 605 | # If for example four lines are overlaid e.g I Q U V
|
|---|
| 606 | # 'I' will be 'solid', 'Q' will be 'dashed',
|
|---|
| 607 | # U will be 'dotted' and 'V' will be 'dashdot'.
|
|---|
| 608 | """
|
|---|
| 609 | if isinstance(linestyles,str):
|
|---|
| 610 | linestyles = linestyles.split()
|
|---|
| 611 | self._plotter.palette(color=0,linestyle=0,linestyles=linestyles)
|
|---|
| 612 | if isinstance(linewidth, float) or isinstance(linewidth, int):
|
|---|
| 613 | from matplotlib import rc as rcp
|
|---|
| 614 | rcp('lines', linewidth=linewidth)
|
|---|
| 615 | if refresh and self._data: self.plot(self._data)
|
|---|
| 616 |
|
|---|
| 617 | def set_font(self, refresh=True,**kwargs):
|
|---|
| 618 | """
|
|---|
| 619 | Set font properties.
|
|---|
| 620 | Parameters:
|
|---|
| 621 | family: one of 'sans-serif', 'serif', 'cursive', 'fantasy', 'monospace'
|
|---|
| 622 | style: one of 'normal' (or 'roman'), 'italic' or 'oblique'
|
|---|
| 623 | weight: one of 'normal or 'bold'
|
|---|
| 624 | size: the 'general' font size, individual elements can be adjusted
|
|---|
| 625 | seperately
|
|---|
| 626 | refresh: True (default) or False. If True, the plot is
|
|---|
| 627 | replotted based on the new parameter setting(s).
|
|---|
| 628 | Otherwise,the parameter(s) are set without replotting.
|
|---|
| 629 | """
|
|---|
| 630 | from matplotlib import rc as rcp
|
|---|
| 631 | fdict = {}
|
|---|
| 632 | for k,v in kwargs.iteritems():
|
|---|
| 633 | if v:
|
|---|
| 634 | fdict[k] = v
|
|---|
| 635 | self._fp = FontProperties(**fdict)
|
|---|
| 636 | if refresh and self._data: self.plot(self._data)
|
|---|
| 637 |
|
|---|
| 638 | def set_panellayout(self,layout=[],refresh=True):
|
|---|
| 639 | """
|
|---|
| 640 | Set the layout of subplots.
|
|---|
| 641 | Parameters:
|
|---|
| 642 | layout: a list of subplots layout in figure coordinate (0-1),
|
|---|
| 643 | i.e., fraction of the figure width or height.
|
|---|
| 644 | The order of elements should be:
|
|---|
| 645 | [left, bottom, right, top, horizontal space btw panels,
|
|---|
| 646 | vertical space btw panels].
|
|---|
| 647 | refresh: True (default) or False. If True, the plot is
|
|---|
| 648 | replotted based on the new parameter setting(s).
|
|---|
| 649 | Otherwise,the parameter(s) are set without replotting.
|
|---|
| 650 | Note
|
|---|
| 651 | * When layout is not specified, the values are reset to the defaults
|
|---|
| 652 | of matplotlib.
|
|---|
| 653 | * If any element is set to be None, the current value is adopted.
|
|---|
| 654 | """
|
|---|
| 655 | if layout == []: self._panellayout=self._reset_panellayout()
|
|---|
| 656 | else:
|
|---|
| 657 | self._panellayout=[None]*6
|
|---|
| 658 | self._panellayout[0:len(layout)]=layout
|
|---|
| 659 | #print "panel layout set to ",self._panellayout
|
|---|
| 660 | if refresh and self._data: self.plot(self._data)
|
|---|
| 661 |
|
|---|
| 662 | def _reset_panellayout(self):
|
|---|
| 663 | ks=map(lambda x: 'figure.subplot.'+x,
|
|---|
| 664 | ['left','bottom','right','top','hspace','wspace'])
|
|---|
| 665 | return map(matplotlib.rcParams.get,ks)
|
|---|
| 666 |
|
|---|
| 667 | def plot_lines(self, linecat=None, doppler=0.0, deltachan=10, rotate=90.0,
|
|---|
| 668 | location=None):
|
|---|
| 669 | """
|
|---|
| 670 | Plot a line catalog.
|
|---|
| 671 | Parameters:
|
|---|
| 672 | linecat: the linecatalog to plot
|
|---|
| 673 | doppler: the velocity shift to apply to the frequencies
|
|---|
| 674 | deltachan: the number of channels to include each side of the
|
|---|
| 675 | line to determine a local maximum/minimum
|
|---|
| 676 | rotate: the rotation (in degrees) for the text label (default 90.0)
|
|---|
| 677 | location: the location of the line annotation from the 'top',
|
|---|
| 678 | 'bottom' or alternate (None - the default)
|
|---|
| 679 | Notes:
|
|---|
| 680 | If the spectrum is flagged no line will be drawn in that location.
|
|---|
| 681 | """
|
|---|
| 682 | if not self._data:
|
|---|
| 683 | raise RuntimeError("No scantable has been plotted yet.")
|
|---|
| 684 | from asap._asap import linecatalog
|
|---|
| 685 | if not isinstance(linecat, linecatalog):
|
|---|
| 686 | raise ValueError("'linecat' isn't of type linecatalog.")
|
|---|
| 687 | if not self._data.get_unit().endswith("Hz"):
|
|---|
| 688 | raise RuntimeError("Can only overlay linecatalogs when data is in frequency.")
|
|---|
| 689 | from numpy import ma
|
|---|
| 690 | for j in range(len(self._plotter.subplots)):
|
|---|
| 691 | self._plotter.subplot(j)
|
|---|
| 692 | lims = self._plotter.axes.get_xlim()
|
|---|
| 693 | for row in range(linecat.nrow()):
|
|---|
| 694 | # get_frequency returns MHz
|
|---|
| 695 | base = { "GHz": 1000.0, "MHz": 1.0, "Hz": 1.0e-6 }
|
|---|
| 696 | restf = linecat.get_frequency(row)/base[self._data.get_unit()]
|
|---|
| 697 | c = 299792.458
|
|---|
| 698 | freq = restf*(1.0-doppler/c)
|
|---|
| 699 | if lims[0] < freq < lims[1]:
|
|---|
| 700 | if location is None:
|
|---|
| 701 | loc = 'bottom'
|
|---|
| 702 | if row%2: loc='top'
|
|---|
| 703 | else: loc = location
|
|---|
| 704 | maxys = []
|
|---|
| 705 | for line in self._plotter.axes.lines:
|
|---|
| 706 | v = line._x
|
|---|
| 707 | asc = v[0] < v[-1]
|
|---|
| 708 |
|
|---|
| 709 | idx = None
|
|---|
| 710 | if not asc:
|
|---|
| 711 | if v[len(v)-1] <= freq <= v[0]:
|
|---|
| 712 | i = len(v)-1
|
|---|
| 713 | while i>=0 and v[i] < freq:
|
|---|
| 714 | idx = i
|
|---|
| 715 | i-=1
|
|---|
| 716 | else:
|
|---|
| 717 | if v[0] <= freq <= v[len(v)-1]:
|
|---|
| 718 | i = 0
|
|---|
| 719 | while i<len(v) and v[i] < freq:
|
|---|
| 720 | idx = i
|
|---|
| 721 | i+=1
|
|---|
| 722 | if idx is not None:
|
|---|
| 723 | lower = idx - deltachan
|
|---|
| 724 | upper = idx + deltachan
|
|---|
| 725 | if lower < 0: lower = 0
|
|---|
| 726 | if upper > len(v): upper = len(v)
|
|---|
| 727 | s = slice(lower, upper)
|
|---|
| 728 | y = line._y[s]
|
|---|
| 729 | maxy = ma.maximum(y)
|
|---|
| 730 | if isinstance( maxy, float):
|
|---|
| 731 | maxys.append(maxy)
|
|---|
| 732 | if len(maxys):
|
|---|
| 733 | peak = max(maxys)
|
|---|
| 734 | if peak > self._plotter.axes.get_ylim()[1]:
|
|---|
| 735 | loc = 'bottom'
|
|---|
| 736 | else:
|
|---|
| 737 | continue
|
|---|
| 738 | self._plotter.vline_with_label(freq, peak,
|
|---|
| 739 | linecat.get_name(row),
|
|---|
| 740 | location=loc, rotate=rotate)
|
|---|
| 741 | self._plotter.show(hardrefresh=False)
|
|---|
| 742 |
|
|---|
| 743 |
|
|---|
| 744 | def save(self, filename=None, orientation=None, dpi=None):
|
|---|
| 745 | """
|
|---|
| 746 | Save the plot to a file. The known formats are 'png', 'ps', 'eps'.
|
|---|
| 747 | Parameters:
|
|---|
| 748 | filename: The name of the output file. This is optional
|
|---|
| 749 | and autodetects the image format from the file
|
|---|
| 750 | suffix. If non filename is specified a file
|
|---|
| 751 | called 'yyyymmdd_hhmmss.png' is created in the
|
|---|
| 752 | current directory.
|
|---|
| 753 | orientation: optional parameter for postscript only (not eps).
|
|---|
| 754 | 'landscape', 'portrait' or None (default) are valid.
|
|---|
| 755 | If None is choosen for 'ps' output, the plot is
|
|---|
| 756 | automatically oriented to fill the page.
|
|---|
| 757 | dpi: The dpi of the output non-ps plot
|
|---|
| 758 | """
|
|---|
| 759 | self._plotter.save(filename,orientation,dpi)
|
|---|
| 760 | return
|
|---|
| 761 |
|
|---|
| 762 | @asaplog_post_dec
|
|---|
| 763 | def set_mask(self, mask=None, selection=None, refresh=True):
|
|---|
| 764 | """
|
|---|
| 765 | Set a plotting mask for a specific polarization.
|
|---|
| 766 | This is useful for masking out "noise" Pangle outside a source.
|
|---|
| 767 | Parameters:
|
|---|
| 768 | mask: a mask from scantable.create_mask
|
|---|
| 769 | selection: the spectra to apply the mask to.
|
|---|
| 770 | refresh: True (default) or False. If True, the plot is
|
|---|
| 771 | replotted based on the new parameter setting(s).
|
|---|
| 772 | Otherwise,the parameter(s) are set without replotting.
|
|---|
| 773 | Example:
|
|---|
| 774 | select = selector()
|
|---|
| 775 | select.setpolstrings("Pangle")
|
|---|
| 776 | plotter.set_mask(mymask, select)
|
|---|
| 777 | """
|
|---|
| 778 | if not self._data:
|
|---|
| 779 | msg = "Can only set mask after a first call to plot()"
|
|---|
| 780 | raise RuntimeError(msg)
|
|---|
| 781 | if len(mask):
|
|---|
| 782 | if isinstance(mask, list) or isinstance(mask, tuple):
|
|---|
| 783 | self._usermask = array(mask)
|
|---|
| 784 | else:
|
|---|
| 785 | self._usermask = mask
|
|---|
| 786 | if mask is None and selection is None:
|
|---|
| 787 | self._usermask = []
|
|---|
| 788 | self._maskselection = None
|
|---|
| 789 | if isinstance(selection, selector):
|
|---|
| 790 | self._maskselection = {'b': selection.get_beams(),
|
|---|
| 791 | 's': selection.get_scans(),
|
|---|
| 792 | 'i': selection.get_ifs(),
|
|---|
| 793 | 'p': selection.get_pols(),
|
|---|
| 794 | 't': [] }
|
|---|
| 795 | else:
|
|---|
| 796 | self._maskselection = None
|
|---|
| 797 | if refresh: self.plot(self._data)
|
|---|
| 798 |
|
|---|
| 799 | def _slice_indeces(self, data):
|
|---|
| 800 | mn = self._minmaxx[0]
|
|---|
| 801 | mx = self._minmaxx[1]
|
|---|
| 802 | asc = data[0] < data[-1]
|
|---|
| 803 | start=0
|
|---|
| 804 | end = len(data)-1
|
|---|
| 805 | inc = 1
|
|---|
| 806 | if not asc:
|
|---|
| 807 | start = len(data)-1
|
|---|
| 808 | end = 0
|
|---|
| 809 | inc = -1
|
|---|
| 810 | # find min index
|
|---|
| 811 | #while start > 0 and data[start] < mn:
|
|---|
| 812 | # start+= inc
|
|---|
| 813 | minind=start
|
|---|
| 814 | for ind in xrange(start,end+inc,inc):
|
|---|
| 815 | if data[ind] > mn: break
|
|---|
| 816 | minind=ind
|
|---|
| 817 | # find max index
|
|---|
| 818 | #while end > 0 and data[end] > mx:
|
|---|
| 819 | # end-=inc
|
|---|
| 820 | #if end > 0: end +=1
|
|---|
| 821 | maxind=end
|
|---|
| 822 | for ind in xrange(end,start-inc,-inc):
|
|---|
| 823 | if data[ind] < mx: break
|
|---|
| 824 | maxind=ind
|
|---|
| 825 | start=minind
|
|---|
| 826 | end=maxind
|
|---|
| 827 | if start > end:
|
|---|
| 828 | return end,start+1
|
|---|
| 829 | elif start < end:
|
|---|
| 830 | return start,end+1
|
|---|
| 831 | else:
|
|---|
| 832 | return start,end
|
|---|
| 833 |
|
|---|
| 834 | def _reset(self):
|
|---|
| 835 | self._usermask = []
|
|---|
| 836 | self._usermaskspectra = None
|
|---|
| 837 | self._offset = None
|
|---|
| 838 | self.set_selection(None, False)
|
|---|
| 839 |
|
|---|
| 840 | def _plot(self, scan):
|
|---|
| 841 | savesel = scan.get_selection()
|
|---|
| 842 | sel = savesel + self._selection
|
|---|
| 843 | order = self._get_sortstring([self._panelling,self._stacking])
|
|---|
| 844 | if order:
|
|---|
| 845 | sel.set_order(order)
|
|---|
| 846 | scan.set_selection(sel)
|
|---|
| 847 | d = {'b': scan.getbeam, 's': scan.getscan,
|
|---|
| 848 | #'i': scan.getif, 'p': scan.getpol, 't': scan._gettime,
|
|---|
| 849 | 'i': scan.getif, 'p': scan.getpol, 't': scan.get_time,
|
|---|
| 850 | 'r': int, '_r': int}
|
|---|
| 851 |
|
|---|
| 852 | polmodes = dict(zip(self._selection.get_pols(),
|
|---|
| 853 | self._selection.get_poltypes()))
|
|---|
| 854 | # this returns either a tuple of numbers or a length (ncycles)
|
|---|
| 855 | # convert this into lengths
|
|---|
| 856 | n0,nstack0 = self._get_selected_n(scan)
|
|---|
| 857 | if isinstance(n0, int): n = n0
|
|---|
| 858 | else: n = len(n0)
|
|---|
| 859 | if isinstance(nstack0, int): nstack = nstack0
|
|---|
| 860 | else: nstack = len(nstack0)
|
|---|
| 861 | nptot = n
|
|---|
| 862 | maxpanel, maxstack = 16,16
|
|---|
| 863 | if nstack > maxstack:
|
|---|
| 864 | msg ="Scan to be overlayed contains more than %d selections.\n" \
|
|---|
| 865 | "Selecting first %d selections..." % (maxstack, maxstack)
|
|---|
| 866 | asaplog.push(msg)
|
|---|
| 867 | asaplog.post('WARN')
|
|---|
| 868 | nstack = min(nstack,maxstack)
|
|---|
| 869 | #n = min(n,maxpanel)
|
|---|
| 870 | n = min(n-self._ipanel-1,maxpanel)
|
|---|
| 871 |
|
|---|
| 872 | if n > 1:
|
|---|
| 873 | ganged = rcParams['plotter.ganged']
|
|---|
| 874 | if self._panelling == 'i':
|
|---|
| 875 | ganged = False
|
|---|
| 876 | if self._rows and self._cols:
|
|---|
| 877 | n = min(n,self._rows*self._cols)
|
|---|
| 878 | self._plotter.set_panels(rows=self._rows,cols=self._cols,
|
|---|
| 879 | # nplots=n,ganged=ganged)
|
|---|
| 880 | nplots=n,layout=self._panellayout,ganged=ganged)
|
|---|
| 881 | else:
|
|---|
| 882 | # self._plotter.set_panels(rows=n,cols=0,nplots=n,ganged=ganged)
|
|---|
| 883 | self._plotter.set_panels(rows=n,cols=0,nplots=n,layout=self._panellayout,ganged=ganged)
|
|---|
| 884 | else:
|
|---|
| 885 | # self._plotter.set_panels()
|
|---|
| 886 | self._plotter.set_panels(layout=self._panellayout)
|
|---|
| 887 | #r = 0
|
|---|
| 888 | r = self._startrow
|
|---|
| 889 | nr = scan.nrow()
|
|---|
| 890 | a0,b0 = -1,-1
|
|---|
| 891 | allxlim = []
|
|---|
| 892 | allylim = []
|
|---|
| 893 | #newpanel=True
|
|---|
| 894 | newpanel=False
|
|---|
| 895 | panelcount,stackcount = 0,0
|
|---|
| 896 | # If this is not the first page
|
|---|
| 897 | if r > 0:
|
|---|
| 898 | # panelling value of the prev page
|
|---|
| 899 | a0 = d[self._panelling](r-1)
|
|---|
| 900 | # set the initial stackcount large not to plot
|
|---|
| 901 | # the start row automatically
|
|---|
| 902 | stackcount = nstack
|
|---|
| 903 |
|
|---|
| 904 | while r < nr:
|
|---|
| 905 | a = d[self._panelling](r)
|
|---|
| 906 | b = d[self._stacking](r)
|
|---|
| 907 | if a > a0 and panelcount < n:
|
|---|
| 908 | if n > 1:
|
|---|
| 909 | self._plotter.subplot(panelcount)
|
|---|
| 910 | self._plotter.palette(0)
|
|---|
| 911 | #title
|
|---|
| 912 | xlab = self._abcissa and self._abcissa[panelcount] \
|
|---|
| 913 | or scan._getabcissalabel()
|
|---|
| 914 | if self._offset and not self._abcissa:
|
|---|
| 915 | xlab += " (relative)"
|
|---|
| 916 | ylab = self._ordinate and self._ordinate[panelcount] \
|
|---|
| 917 | or scan._get_ordinate_label()
|
|---|
| 918 | self._plotter.set_axes('xlabel', xlab)
|
|---|
| 919 | self._plotter.set_axes('ylabel', ylab)
|
|---|
| 920 | lbl = self._get_label(scan, r, self._panelling, self._title)
|
|---|
| 921 | #if self._panelling == 'r': lbl = ''
|
|---|
| 922 | if isinstance(lbl, list) or isinstance(lbl, tuple):
|
|---|
| 923 | if 0 <= panelcount < len(lbl):
|
|---|
| 924 | lbl = lbl[panelcount]
|
|---|
| 925 | else:
|
|---|
| 926 | # get default label
|
|---|
| 927 | lbl = self._get_label(scan, r, self._panelling, None)
|
|---|
| 928 | self._plotter.set_axes('title',lbl)
|
|---|
| 929 | newpanel = True
|
|---|
| 930 | stackcount = 0
|
|---|
| 931 | panelcount += 1
|
|---|
| 932 | # save the start row to plot this panel for future revisit.
|
|---|
| 933 | if self._panelling != 'r' and \
|
|---|
| 934 | len(self._panelrows) < self._ipanel+1+panelcount:
|
|---|
| 935 | self._panelrows += [r]
|
|---|
| 936 |
|
|---|
| 937 | #if (b > b0 or newpanel) and stackcount < nstack:
|
|---|
| 938 | if stackcount < nstack and (newpanel or (a == a0 and b > b0)):
|
|---|
| 939 | y = []
|
|---|
| 940 | if len(polmodes):
|
|---|
| 941 | y = scan._getspectrum(r, polmodes[scan.getpol(r)])
|
|---|
| 942 | else:
|
|---|
| 943 | y = scan._getspectrum(r)
|
|---|
| 944 | m = scan._getmask(r)
|
|---|
| 945 | from numpy import logical_not, logical_and
|
|---|
| 946 | if self._maskselection and len(self._usermask) == len(m):
|
|---|
| 947 | if d[self._stacking](r) in self._maskselection[self._stacking]:
|
|---|
| 948 | m = logical_and(m, self._usermask)
|
|---|
| 949 | from numpy import ma, array
|
|---|
| 950 | x = array(scan._getabcissa(r))
|
|---|
| 951 | if self._offset:
|
|---|
| 952 | x += self._offset
|
|---|
| 953 | y = ma.masked_array(y,mask=logical_not(array(m,copy=False)))
|
|---|
| 954 | if self._minmaxx is not None:
|
|---|
| 955 | s,e = self._slice_indeces(x)
|
|---|
| 956 | x = x[s:e]
|
|---|
| 957 | y = y[s:e]
|
|---|
| 958 | if len(x) > 1024 and rcParams['plotter.decimate']:
|
|---|
| 959 | fac = len(x)/1024
|
|---|
| 960 | x = x[::fac]
|
|---|
| 961 | y = y[::fac]
|
|---|
| 962 | llbl = self._get_label(scan, r, self._stacking, self._lmap)
|
|---|
| 963 | if isinstance(llbl, list) or isinstance(llbl, tuple):
|
|---|
| 964 | if 0 <= stackcount < len(llbl):
|
|---|
| 965 | # use user label
|
|---|
| 966 | llbl = llbl[stackcount]
|
|---|
| 967 | else:
|
|---|
| 968 | # get default label
|
|---|
| 969 | llbl = self._get_label(scan, r, self._stacking, None)
|
|---|
| 970 | self._plotter.set_line(label=llbl)
|
|---|
| 971 | plotit = self._plotter.plot
|
|---|
| 972 | if self._hist: plotit = self._plotter.hist
|
|---|
| 973 | if len(x) > 0:
|
|---|
| 974 | plotit(x,y)
|
|---|
| 975 | xlim= self._minmaxx or [min(x),max(x)]
|
|---|
| 976 | allxlim += xlim
|
|---|
| 977 | ylim= self._minmaxy or [ma.minimum(y),ma.maximum(y)]
|
|---|
| 978 | allylim += ylim
|
|---|
| 979 | else:
|
|---|
| 980 | xlim = self._minmaxx or []
|
|---|
| 981 | allxlim += xlim
|
|---|
| 982 | ylim= self._minmaxy or []
|
|---|
| 983 | allylim += ylim
|
|---|
| 984 | stackcount += 1
|
|---|
| 985 | a0=a
|
|---|
| 986 | b0=b
|
|---|
| 987 | # last in colour stack -> autoscale x
|
|---|
| 988 | if stackcount == nstack and len(allxlim) > 0:
|
|---|
| 989 | allxlim.sort()
|
|---|
| 990 | self._plotter.subplots[panelcount-1]['axes'].set_xlim([allxlim[0],allxlim[-1]])
|
|---|
| 991 | # clear
|
|---|
| 992 | allxlim =[]
|
|---|
| 993 |
|
|---|
| 994 | newpanel = False
|
|---|
| 995 | #a0=a
|
|---|
| 996 | #b0=b
|
|---|
| 997 | # ignore following rows
|
|---|
| 998 | if (panelcount == n and stackcount == nstack) or (r == nr-1):
|
|---|
| 999 | # last panel -> autoscale y if ganged
|
|---|
| 1000 | if rcParams['plotter.ganged'] and len(allylim) > 0:
|
|---|
| 1001 | allylim.sort()
|
|---|
| 1002 | self._plotter.set_limits(ylim=[allylim[0],allylim[-1]])
|
|---|
| 1003 | break
|
|---|
| 1004 | r+=1 # next row
|
|---|
| 1005 |
|
|---|
| 1006 | # save the current counter for multi-page plotting
|
|---|
| 1007 | self._startrow = r+1
|
|---|
| 1008 | self._ipanel += panelcount
|
|---|
| 1009 | if self._plotter.figmgr.casabar:
|
|---|
| 1010 | if self._ipanel >= nptot-1:
|
|---|
| 1011 | self._plotter.figmgr.casabar.disable_next()
|
|---|
| 1012 | else:
|
|---|
| 1013 | self._plotter.figmgr.casabar.enable_next()
|
|---|
| 1014 | if self._ipanel + 1 - panelcount > 0:
|
|---|
| 1015 | self._plotter.figmgr.casabar.enable_prev()
|
|---|
| 1016 | else:
|
|---|
| 1017 | self._plotter.figmgr.casabar.disable_prev()
|
|---|
| 1018 |
|
|---|
| 1019 | #reset the selector to the scantable's original
|
|---|
| 1020 | scan.set_selection(savesel)
|
|---|
| 1021 |
|
|---|
| 1022 | #temporary switch-off for older matplotlib
|
|---|
| 1023 | #if self._fp is not None:
|
|---|
| 1024 | if self._fp is not None and getattr(self._plotter.figure,'findobj',False):
|
|---|
| 1025 | for o in self._plotter.figure.findobj(Text):
|
|---|
| 1026 | o.set_fontproperties(self._fp)
|
|---|
| 1027 |
|
|---|
| 1028 | def _get_sortstring(self, lorders):
|
|---|
| 1029 | d0 = {'s': 'SCANNO', 'b': 'BEAMNO', 'i':'IFNO',
|
|---|
| 1030 | 'p': 'POLNO', 'c': 'CYCLENO', 't' : 'TIME', 'r':None, '_r':None }
|
|---|
| 1031 | if not (type(lorders) == list) and not (type(lorders) == tuple):
|
|---|
| 1032 | return None
|
|---|
| 1033 | if len(lorders) > 0:
|
|---|
| 1034 | lsorts = []
|
|---|
| 1035 | for order in lorders:
|
|---|
| 1036 | ssort = d0[order]
|
|---|
| 1037 | if ssort:
|
|---|
| 1038 | lsorts.append(ssort)
|
|---|
| 1039 | return lsorts
|
|---|
| 1040 | return None
|
|---|
| 1041 |
|
|---|
| 1042 | def set_selection(self, selection=None, refresh=True, **kw):
|
|---|
| 1043 | """
|
|---|
| 1044 | Parameters:
|
|---|
| 1045 | selection: a selector object (default unset the selection)
|
|---|
| 1046 | refresh: True (default) or False. If True, the plot is
|
|---|
| 1047 | replotted based on the new parameter setting(s).
|
|---|
| 1048 | Otherwise,the parameter(s) are set without replotting.
|
|---|
| 1049 | """
|
|---|
| 1050 | if selection is None:
|
|---|
| 1051 | # reset
|
|---|
| 1052 | if len(kw) == 0:
|
|---|
| 1053 | self._selection = selector()
|
|---|
| 1054 | else:
|
|---|
| 1055 | # try keywords
|
|---|
| 1056 | for k in kw:
|
|---|
| 1057 | if k not in selector.fields:
|
|---|
| 1058 | raise KeyError("Invalid selection key '%s', valid keys are %s" % (k, selector.fields))
|
|---|
| 1059 | self._selection = selector(**kw)
|
|---|
| 1060 | elif isinstance(selection, selector):
|
|---|
| 1061 | self._selection = selection
|
|---|
| 1062 | else:
|
|---|
| 1063 | raise TypeError("'selection' is not of type selector")
|
|---|
| 1064 |
|
|---|
| 1065 | order = self._get_sortstring([self._panelling,self._stacking])
|
|---|
| 1066 | if order:
|
|---|
| 1067 | self._selection.set_order(order)
|
|---|
| 1068 | if refresh and self._data: self.plot(self._data)
|
|---|
| 1069 |
|
|---|
| 1070 | def _get_selected_n(self, scan):
|
|---|
| 1071 | d1 = {'b': scan.getbeamnos, 's': scan.getscannos,
|
|---|
| 1072 | 'i': scan.getifnos, 'p': scan.getpolnos, 't': scan.ncycle,
|
|---|
| 1073 | 'r': scan.nrow, '_r': False}
|
|---|
| 1074 | d2 = { 'b': self._selection.get_beams(),
|
|---|
| 1075 | 's': self._selection.get_scans(),
|
|---|
| 1076 | 'i': self._selection.get_ifs(),
|
|---|
| 1077 | 'p': self._selection.get_pols(),
|
|---|
| 1078 | 't': self._selection.get_cycles(),
|
|---|
| 1079 | 'r': False, '_r': 1}
|
|---|
| 1080 | n = d2[self._panelling] or d1[self._panelling]()
|
|---|
| 1081 | nstack = d2[self._stacking] or d1[self._stacking]()
|
|---|
| 1082 | return n,nstack
|
|---|
| 1083 |
|
|---|
| 1084 | def _get_label(self, scan, row, mode, userlabel=None):
|
|---|
| 1085 | if isinstance(userlabel, list) and len(userlabel) == 0:
|
|---|
| 1086 | userlabel = " "
|
|---|
| 1087 | pms = dict(zip(self._selection.get_pols(),self._selection.get_poltypes()))
|
|---|
| 1088 | if len(pms):
|
|---|
| 1089 | poleval = scan._getpollabel(scan.getpol(row),pms[scan.getpol(row)])
|
|---|
| 1090 | else:
|
|---|
| 1091 | poleval = scan._getpollabel(scan.getpol(row),scan.poltype())
|
|---|
| 1092 | d = {'b': "Beam "+str(scan.getbeam(row)),
|
|---|
| 1093 | #'s': scan._getsourcename(row),
|
|---|
| 1094 | 's': "Scan "+str(scan.getscan(row))+\
|
|---|
| 1095 | " ("+str(scan._getsourcename(row))+")",
|
|---|
| 1096 | 'i': "IF"+str(scan.getif(row)),
|
|---|
| 1097 | 'p': poleval,
|
|---|
| 1098 | 't': str(scan.get_time(row)),
|
|---|
| 1099 | 'r': "row "+str(row),
|
|---|
| 1100 | #'_r': str(scan.get_time(row))+",\nIF"+str(scan.getif(row))+", "+poleval+", Beam"+str(scan.getbeam(row)) }
|
|---|
| 1101 | '_r': "" }
|
|---|
| 1102 | return userlabel or d[mode]
|
|---|
| 1103 |
|
|---|
| 1104 | def plotazel(self, scan=None, outfile=None):
|
|---|
| 1105 | """
|
|---|
| 1106 | plot azimuth and elevation versus time of a scantable
|
|---|
| 1107 | """
|
|---|
| 1108 | visible = rcParams['plotter.gui']
|
|---|
| 1109 | from matplotlib import pylab as PL
|
|---|
| 1110 | from matplotlib.dates import DateFormatter, timezone
|
|---|
| 1111 | from matplotlib.dates import HourLocator, MinuteLocator,SecondLocator, DayLocator
|
|---|
| 1112 | from matplotlib.ticker import MultipleLocator
|
|---|
| 1113 | from numpy import array, pi
|
|---|
| 1114 | if not visible or not self._visible:
|
|---|
| 1115 | PL.ioff()
|
|---|
| 1116 | from matplotlib.backends.backend_agg import FigureCanvasAgg
|
|---|
| 1117 | PL.gcf().canvas.switch_backends(FigureCanvasAgg)
|
|---|
| 1118 | self._data = scan
|
|---|
| 1119 | self._outfile = outfile
|
|---|
| 1120 | dates = self._data.get_time(asdatetime=True)
|
|---|
| 1121 | t = PL.date2num(dates)
|
|---|
| 1122 | tz = timezone('UTC')
|
|---|
| 1123 | PL.cla()
|
|---|
| 1124 | PL.ioff()
|
|---|
| 1125 | PL.clf()
|
|---|
| 1126 | # Adjust subplot layouts
|
|---|
| 1127 | if len(self._panellayout) != 6:
|
|---|
| 1128 | self.set_panellayout(refresh=False)
|
|---|
| 1129 | lef, bot, rig, top, wsp, hsp = self._panellayout
|
|---|
| 1130 | PL.gcf().subplots_adjust(left=lef,bottom=bot,right=rig,top=top,
|
|---|
| 1131 | wspace=wsp,hspace=hsp)
|
|---|
| 1132 |
|
|---|
| 1133 | tdel = max(t) - min(t)
|
|---|
| 1134 | ax = PL.subplot(2,1,1)
|
|---|
| 1135 | el = array(self._data.get_elevation())*180./pi
|
|---|
| 1136 | PL.ylabel('El [deg.]')
|
|---|
| 1137 | dstr = dates[0].strftime('%Y/%m/%d')
|
|---|
| 1138 | if tdel > 1.0:
|
|---|
| 1139 | dstr2 = dates[len(dates)-1].strftime('%Y/%m/%d')
|
|---|
| 1140 | dstr = dstr + " - " + dstr2
|
|---|
| 1141 | majloc = DayLocator()
|
|---|
| 1142 | minloc = HourLocator(range(0,23,12))
|
|---|
| 1143 | timefmt = DateFormatter("%b%d")
|
|---|
| 1144 | elif tdel > 24./60.:
|
|---|
| 1145 | timefmt = DateFormatter('%H:%M')
|
|---|
| 1146 | majloc = HourLocator()
|
|---|
| 1147 | minloc = MinuteLocator(30)
|
|---|
| 1148 | else:
|
|---|
| 1149 | timefmt = DateFormatter('%H:%M')
|
|---|
| 1150 | majloc = MinuteLocator(interval=5)
|
|---|
| 1151 | minloc = SecondLocator(30)
|
|---|
| 1152 |
|
|---|
| 1153 | PL.title(dstr)
|
|---|
| 1154 | if tdel == 0.0:
|
|---|
| 1155 | th = (t - PL.floor(t))*24.0
|
|---|
| 1156 | PL.plot(th,el,'o',markersize=2, markerfacecolor='b', markeredgecolor='b')
|
|---|
| 1157 | else:
|
|---|
| 1158 | PL.plot_date(t,el,'o', markersize=2, markerfacecolor='b', markeredgecolor='b',tz=tz)
|
|---|
| 1159 | #ax.grid(True)
|
|---|
| 1160 | ax.xaxis.set_major_formatter(timefmt)
|
|---|
| 1161 | ax.xaxis.set_major_locator(majloc)
|
|---|
| 1162 | ax.xaxis.set_minor_locator(minloc)
|
|---|
| 1163 | ax.yaxis.grid(True)
|
|---|
| 1164 | yloc = MultipleLocator(30)
|
|---|
| 1165 | ax.set_ylim(0,90)
|
|---|
| 1166 | ax.yaxis.set_major_locator(yloc)
|
|---|
| 1167 | if tdel > 1.0:
|
|---|
| 1168 | labels = ax.get_xticklabels()
|
|---|
| 1169 | # PL.setp(labels, fontsize=10, rotation=45)
|
|---|
| 1170 | PL.setp(labels, fontsize=10)
|
|---|
| 1171 |
|
|---|
| 1172 | # Az plot
|
|---|
| 1173 | az = array(self._data.get_azimuth())*180./pi
|
|---|
| 1174 | if min(az) < 0:
|
|---|
| 1175 | for irow in range(len(az)):
|
|---|
| 1176 | if az[irow] < 0: az[irow] += 360.0
|
|---|
| 1177 |
|
|---|
| 1178 | ax2 = PL.subplot(2,1,2)
|
|---|
| 1179 | #PL.xlabel('Time (UT [hour])')
|
|---|
| 1180 | PL.ylabel('Az [deg.]')
|
|---|
| 1181 | if tdel == 0.0:
|
|---|
| 1182 | PL.plot(th,az,'o',markersize=2, markeredgecolor='b',markerfacecolor='b')
|
|---|
| 1183 | else:
|
|---|
| 1184 | PL.plot_date(t,az,'o', markersize=2,markeredgecolor='b',markerfacecolor='b',tz=tz)
|
|---|
| 1185 | ax2.xaxis.set_major_formatter(timefmt)
|
|---|
| 1186 | ax2.xaxis.set_major_locator(majloc)
|
|---|
| 1187 | ax2.xaxis.set_minor_locator(minloc)
|
|---|
| 1188 | #ax2.grid(True)
|
|---|
| 1189 | ax2.set_ylim(0,360)
|
|---|
| 1190 | ax2.yaxis.grid(True)
|
|---|
| 1191 | #hfmt = DateFormatter('%H')
|
|---|
| 1192 | #hloc = HourLocator()
|
|---|
| 1193 | yloc = MultipleLocator(60)
|
|---|
| 1194 | ax2.yaxis.set_major_locator(yloc)
|
|---|
| 1195 | if tdel > 1.0:
|
|---|
| 1196 | labels = ax2.get_xticklabels()
|
|---|
| 1197 | PL.setp(labels, fontsize=10)
|
|---|
| 1198 | PL.xlabel('Time (UT [day])')
|
|---|
| 1199 | else:
|
|---|
| 1200 | PL.xlabel('Time (UT [hour])')
|
|---|
| 1201 |
|
|---|
| 1202 | PL.ion()
|
|---|
| 1203 | PL.draw()
|
|---|
| 1204 | if (self._outfile is not None):
|
|---|
| 1205 | PL.savefig(self._outfile)
|
|---|
| 1206 |
|
|---|
| 1207 | def plotpointing(self, scan=None, outfile=None):
|
|---|
| 1208 | """
|
|---|
| 1209 | plot telescope pointings
|
|---|
| 1210 | """
|
|---|
| 1211 | visible = rcParams['plotter.gui']
|
|---|
| 1212 | from matplotlib import pylab as PL
|
|---|
| 1213 | from numpy import array, pi
|
|---|
| 1214 | if not visible or not self._visible:
|
|---|
| 1215 | PL.ioff()
|
|---|
| 1216 | from matplotlib.backends.backend_agg import FigureCanvasAgg
|
|---|
| 1217 | PL.gcf().canvas.switch_backends(FigureCanvasAgg)
|
|---|
| 1218 | self._data = scan
|
|---|
| 1219 | self._outfile = outfile
|
|---|
| 1220 | dir = array(self._data.get_directionval()).transpose()
|
|---|
| 1221 | ra = dir[0]*180./pi
|
|---|
| 1222 | dec = dir[1]*180./pi
|
|---|
| 1223 | PL.cla()
|
|---|
| 1224 | #PL.ioff()
|
|---|
| 1225 | PL.clf()
|
|---|
| 1226 | # Adjust subplot layouts
|
|---|
| 1227 | if len(self._panellayout) != 6:
|
|---|
| 1228 | self.set_panellayout(refresh=False)
|
|---|
| 1229 | lef, bot, rig, top, wsp, hsp = self._panellayout
|
|---|
| 1230 | PL.gcf().subplots_adjust(left=lef,bottom=bot,right=rig,top=top,
|
|---|
| 1231 | wspace=wsp,hspace=hsp)
|
|---|
| 1232 | ax = PL.gca()
|
|---|
| 1233 | #ax = PL.axes([0.1,0.1,0.8,0.8])
|
|---|
| 1234 | #ax = PL.axes([0.1,0.1,0.8,0.8])
|
|---|
| 1235 | ax.set_aspect('equal')
|
|---|
| 1236 | PL.plot(ra, dec, 'b,')
|
|---|
| 1237 | PL.xlabel('RA [deg.]')
|
|---|
| 1238 | PL.ylabel('Declination [deg.]')
|
|---|
| 1239 | PL.title('Telescope pointings')
|
|---|
| 1240 | [xmin,xmax,ymin,ymax] = PL.axis()
|
|---|
| 1241 | PL.axis([xmax,xmin,ymin,ymax])
|
|---|
| 1242 | #PL.ion()
|
|---|
| 1243 | PL.draw()
|
|---|
| 1244 | if (self._outfile is not None):
|
|---|
| 1245 | PL.savefig(self._outfile)
|
|---|
| 1246 |
|
|---|
| 1247 | # plot total power data
|
|---|
| 1248 | # plotting in time is not yet implemented..
|
|---|
| 1249 | @asaplog_post_dec
|
|---|
| 1250 | def plottp(self, scan=None, outfile=None):
|
|---|
| 1251 | if self._plotter.is_dead:
|
|---|
| 1252 | if hasattr(self._plotter.figmgr,'casabar'):
|
|---|
| 1253 | del self._plotter.figmgr.casabar
|
|---|
| 1254 | self._plotter = self._newplotter()
|
|---|
| 1255 | self._plotter.figmgr.casabar=self._newcasabar()
|
|---|
| 1256 | self._plotter.hold()
|
|---|
| 1257 | self._plotter.clear()
|
|---|
| 1258 | from asap import scantable
|
|---|
| 1259 | if not self._data and not scan:
|
|---|
| 1260 | msg = "Input is not a scantable"
|
|---|
| 1261 | raise TypeError(msg)
|
|---|
| 1262 | if isinstance(scan, scantable):
|
|---|
| 1263 | if self._data is not None:
|
|---|
| 1264 | if scan != self._data:
|
|---|
| 1265 | self._data = scan
|
|---|
| 1266 | # reset
|
|---|
| 1267 | self._reset()
|
|---|
| 1268 | else:
|
|---|
| 1269 | self._data = scan
|
|---|
| 1270 | self._reset()
|
|---|
| 1271 | # ranges become invalid when abcissa changes?
|
|---|
| 1272 | #if self._abcunit and self._abcunit != self._data.get_unit():
|
|---|
| 1273 | # self._minmaxx = None
|
|---|
| 1274 | # self._minmaxy = None
|
|---|
| 1275 | # self._abcunit = self._data.get_unit()
|
|---|
| 1276 | # self._datamask = None
|
|---|
| 1277 |
|
|---|
| 1278 | # Adjust subplot layouts
|
|---|
| 1279 | if len(self._panellayout) !=6: self.set_panellayout(refresh=False)
|
|---|
| 1280 | lef, bot, rig, top, wsp, hsp = self._panellayout
|
|---|
| 1281 | self._plotter.figure.subplots_adjust(
|
|---|
| 1282 | left=lef,bottom=bot,right=rig,top=top,wspace=wsp,hspace=hsp)
|
|---|
| 1283 | if self._plotter.figmgr.casabar: self._plotter.figmgr.casabar.disable_button()
|
|---|
| 1284 | self._plottp(self._data)
|
|---|
| 1285 | if self._minmaxy is not None:
|
|---|
| 1286 | self._plotter.set_limits(ylim=self._minmaxy)
|
|---|
| 1287 | self._plotter.release()
|
|---|
| 1288 | self._plotter.tidy()
|
|---|
| 1289 | self._plotter.show(hardrefresh=False)
|
|---|
| 1290 | return
|
|---|
| 1291 |
|
|---|
| 1292 | def _plottp(self,scan):
|
|---|
| 1293 | """
|
|---|
| 1294 | private method for plotting total power data
|
|---|
| 1295 | """
|
|---|
| 1296 | from numpy import ma, array, arange, logical_not
|
|---|
| 1297 | r=0
|
|---|
| 1298 | nr = scan.nrow()
|
|---|
| 1299 | a0,b0 = -1,-1
|
|---|
| 1300 | allxlim = []
|
|---|
| 1301 | allylim = []
|
|---|
| 1302 | y=[]
|
|---|
| 1303 | self._plotter.set_panels()
|
|---|
| 1304 | self._plotter.palette(0)
|
|---|
| 1305 | #title
|
|---|
| 1306 | #xlab = self._abcissa and self._abcissa[panelcount] \
|
|---|
| 1307 | # or scan._getabcissalabel()
|
|---|
| 1308 | #ylab = self._ordinate and self._ordinate[panelcount] \
|
|---|
| 1309 | # or scan._get_ordinate_label()
|
|---|
| 1310 | xlab = self._abcissa or 'row number' #or Time
|
|---|
| 1311 | ylab = self._ordinate or scan._get_ordinate_label()
|
|---|
| 1312 | self._plotter.set_axes('xlabel',xlab)
|
|---|
| 1313 | self._plotter.set_axes('ylabel',ylab)
|
|---|
| 1314 | lbl = self._get_label(scan, r, 's', self._title)
|
|---|
| 1315 | if isinstance(lbl, list) or isinstance(lbl, tuple):
|
|---|
| 1316 | # if 0 <= panelcount < len(lbl):
|
|---|
| 1317 | # lbl = lbl[panelcount]
|
|---|
| 1318 | # else:
|
|---|
| 1319 | # get default label
|
|---|
| 1320 | lbl = self._get_label(scan, r, self._panelling, None)
|
|---|
| 1321 | self._plotter.set_axes('title',lbl)
|
|---|
| 1322 | y=array(scan._get_column(scan._getspectrum,-1))
|
|---|
| 1323 | m = array(scan._get_column(scan._getmask,-1))
|
|---|
| 1324 | y = ma.masked_array(y,mask=logical_not(array(m,copy=False)))
|
|---|
| 1325 | x = arange(len(y))
|
|---|
| 1326 | # try to handle spectral data somewhat...
|
|---|
| 1327 | l,m = y.shape
|
|---|
| 1328 | if m > 1:
|
|---|
| 1329 | y=y.mean(axis=1)
|
|---|
| 1330 | plotit = self._plotter.plot
|
|---|
| 1331 | llbl = self._get_label(scan, r, self._stacking, None)
|
|---|
| 1332 | self._plotter.set_line(label=llbl)
|
|---|
| 1333 | if len(x) > 0:
|
|---|
| 1334 | plotit(x,y)
|
|---|
| 1335 |
|
|---|
| 1336 |
|
|---|
| 1337 | # forwards to matplotlib.Figure.text
|
|---|
| 1338 | def figtext(self, *args, **kwargs):
|
|---|
| 1339 | """
|
|---|
| 1340 | Add text to figure at location x,y (relative 0-1 coords).
|
|---|
| 1341 | This method forwards *args and **kwargs to a Matplotlib method,
|
|---|
| 1342 | matplotlib.Figure.text.
|
|---|
| 1343 | See the method help for detailed information.
|
|---|
| 1344 | """
|
|---|
| 1345 | self._plotter.text(*args, **kwargs)
|
|---|
| 1346 | # end matplotlib.Figure.text forwarding function
|
|---|
| 1347 |
|
|---|
| 1348 |
|
|---|
| 1349 | # printing header information
|
|---|
| 1350 | @asaplog_post_dec
|
|---|
| 1351 | def print_header(self, plot=True, fontsize=9, logger=False, selstr='', extrastr=''):
|
|---|
| 1352 | """
|
|---|
| 1353 | print data (scantable) header on the plot and/or logger.
|
|---|
| 1354 | Parameters:
|
|---|
| 1355 | plot: whether or not print header info on the plot.
|
|---|
| 1356 | fontsize: header font size (valid only plot=True)
|
|---|
| 1357 | logger: whether or not print header info on the logger.
|
|---|
| 1358 | selstr: additional selection string (not verified)
|
|---|
| 1359 | extrastr: additional string to print (not verified)
|
|---|
| 1360 | """
|
|---|
| 1361 | if not plot and not logger:
|
|---|
| 1362 | return
|
|---|
| 1363 | if not self._data:
|
|---|
| 1364 | raise RuntimeError("No scantable has been set yet.")
|
|---|
| 1365 | # Now header will be printed on plot and/or logger.
|
|---|
| 1366 | # Get header information and format it.
|
|---|
| 1367 | ssum=self._data.__str__()
|
|---|
| 1368 | # Print Observation header to the upper-left corner of plot
|
|---|
| 1369 | if plot:
|
|---|
| 1370 | headstr=[ssum[ssum.find('Observer:'):ssum.find('Flux Unit:')]]
|
|---|
| 1371 | headstr.append(ssum[ssum.find('Beams:'):ssum.find('Observer:')]
|
|---|
| 1372 | +ssum[ssum.find('Rest Freqs:'):ssum.find('Abcissa:')])
|
|---|
| 1373 | if extrastr != '': headstr[0]=extrastr+'\n'+headstr[0]
|
|---|
| 1374 | #headstr[1]='Data File: '+(filestr or 'unknown')+'\n'+headstr[1]
|
|---|
| 1375 | ssel='***Selections***\n'+(selstr+self._data.get_selection().__str__() or 'none')
|
|---|
| 1376 | headstr.append(ssel)
|
|---|
| 1377 | nstcol=len(headstr)
|
|---|
| 1378 |
|
|---|
| 1379 | self._plotter.hold()
|
|---|
| 1380 | for i in range(nstcol):
|
|---|
| 1381 | self._plotter.figure.text(0.03+float(i)/nstcol,0.98,
|
|---|
| 1382 | headstr[i],
|
|---|
| 1383 | horizontalalignment='left',
|
|---|
| 1384 | verticalalignment='top',
|
|---|
| 1385 | fontsize=fontsize)
|
|---|
| 1386 | import time
|
|---|
| 1387 | self._plotter.figure.text(0.99,0.0,
|
|---|
| 1388 | time.strftime("%a %d %b %Y %H:%M:%S %Z"),
|
|---|
| 1389 | horizontalalignment='right',
|
|---|
| 1390 | verticalalignment='bottom',fontsize=8)
|
|---|
| 1391 | self._plotter.release()
|
|---|
| 1392 | del headstr, ssel
|
|---|
| 1393 | if logger:
|
|---|
| 1394 | asaplog.push("----------------\n Plot Summary\n----------------")
|
|---|
| 1395 | asaplog.push(extrastr)
|
|---|
| 1396 | asaplog.push(ssum[ssum.find('Beams:'):])
|
|---|
| 1397 | del ssum
|
|---|
