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 | def new_asaplot(visible=None,**kwargs): |
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12 | """ |
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13 | Returns a new asaplot instance based on the backend settings. |
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14 | """ |
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15 | if visible == None: |
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16 | visible = rcParams['plotter.gui'] |
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17 | |
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18 | backend=matplotlib.get_backend() |
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19 | if not visible: |
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20 | from asap.asaplot import asaplot |
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21 | elif backend == 'TkAgg': |
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22 | from asap.asaplotgui import asaplotgui as asaplot |
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23 | elif backend == 'Qt4Agg': |
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24 | from asap.asaplotgui_qt4 import asaplotgui as asaplot |
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25 | elif backend == 'GTkAgg': |
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26 | from asap.asaplotgui_gtk import asaplotgui as asaplot |
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27 | else: |
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28 | from asap.asaplot import asaplot |
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29 | return asaplot(**kwargs) |
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30 | |
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31 | class asapplotter: |
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32 | """ |
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33 | The ASAP plotter. |
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34 | By default the plotter is set up to plot polarisations |
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35 | 'colour stacked' and scantables across panels. |
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36 | |
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37 | .. note:: |
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38 | |
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39 | Currenly it only plots 'spectra' not Tsys or |
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40 | other variables. |
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41 | |
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42 | """ |
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43 | def __init__(self, visible=None , **kwargs): |
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44 | self._visible = rcParams['plotter.gui'] |
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45 | if visible is not None: |
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46 | self._visible = visible |
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47 | self._plotter = self._newplotter(**kwargs) |
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48 | # additional tool bar |
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49 | self._plotter.figmgr.casabar=self._new_custombar() |
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50 | |
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51 | self._panelling = None |
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52 | self._stacking = None |
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53 | self.set_panelling() |
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54 | self.set_stacking() |
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55 | self._rows = None |
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56 | self._cols = None |
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57 | self._autoplot = False |
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58 | self._minmaxx = None |
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59 | self._minmaxy = None |
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60 | self._datamask = None |
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61 | self._data = None |
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62 | self._lmap = None |
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63 | self._title = None |
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64 | self._ordinate = None |
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65 | self._abcissa = None |
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66 | self._abcunit = None |
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67 | self._usermask = [] |
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68 | self._maskselection = None |
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69 | self._selection = selector() |
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70 | self._hist = rcParams['plotter.histogram'] |
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71 | self._fp = FontProperties() |
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72 | self._margins = self.set_margin(refresh=False) |
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73 | self._offset = None |
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74 | self._startrow = 0 |
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75 | self._ipanel = -1 |
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76 | self._panelrows = [] |
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77 | self._headtext={'string': None, 'textobj': None} |
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78 | |
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79 | def _translate(self, instr): |
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80 | keys = "s b i p t r".split() |
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81 | if isinstance(instr, str): |
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82 | for key in keys: |
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83 | if instr.lower().startswith(key): |
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84 | return key |
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85 | return None |
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86 | |
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87 | def _newplotter(self, **kwargs): |
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88 | return new_asaplot(self._visible,**kwargs) |
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89 | |
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90 | def _new_custombar(self): |
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91 | backend=matplotlib.get_backend() |
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92 | if not self._visible: |
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93 | return None |
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94 | elif backend == "TkAgg": |
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95 | from asap.customgui_tkagg import CustomToolbarTkAgg |
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96 | return CustomToolbarTkAgg(self) |
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97 | elif backend == "Qt4Agg": |
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98 | from asap.customgui_qt4agg import CustomToolbarQT4Agg |
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99 | return CustomToolbarQT4Agg(self) |
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100 | return None |
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101 | |
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102 | def casabar_exists(self): |
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103 | if not hasattr(self._plotter.figmgr,'casabar'): |
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104 | return False |
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105 | elif self._plotter.figmgr.casabar: |
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106 | return True |
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107 | return False |
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108 | |
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109 | @asaplog_post_dec |
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110 | def plot(self, scan=None): |
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111 | """ |
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112 | Plot a scantable. |
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113 | Parameters: |
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114 | scan: a scantable |
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115 | Note: |
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116 | If a scantable was specified in a previous call |
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117 | to plot, no argument has to be given to 'replot' |
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118 | NO checking is done that the abcissas of the scantable |
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119 | are consistent e.g. all 'channel' or all 'velocity' etc. |
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120 | """ |
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121 | self._startrow = 0 |
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122 | self._ipanel = -1 |
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123 | self._reset_header() |
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124 | if self._plotter.is_dead: |
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125 | if self.casabar_exists(): |
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126 | del self._plotter.figmgr.casabar |
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127 | self._plotter = self._newplotter() |
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128 | self._plotter.figmgr.casabar=self._new_custombar() |
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129 | if self.casabar_exists(): |
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130 | self._plotter.figmgr.casabar.set_pagecounter(1) |
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131 | self._panelrows = [] |
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132 | self._plotter.hold() |
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133 | #self._plotter.clear() |
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134 | if not self._data and not scan: |
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135 | msg = "Input is not a scantable" |
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136 | raise TypeError(msg) |
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137 | if scan: |
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138 | self.set_data(scan, refresh=False) |
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139 | self._plot(self._data) |
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140 | if self._minmaxy is not None: |
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141 | self._plotter.set_limits(ylim=self._minmaxy) |
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142 | if self.casabar_exists(): self._plotter.figmgr.casabar.enable_button() |
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143 | self._plotter.release() |
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144 | self._plotter.tidy() |
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145 | self._plotter.show(hardrefresh=False) |
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146 | return |
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147 | |
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148 | def gca(self): |
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149 | return self._plotter.figure.gca() |
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150 | |
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151 | def refresh(self): |
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152 | """Do a soft refresh""" |
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153 | self._plotter.figure.show() |
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154 | |
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155 | def create_mask(self, nwin=1, panel=0, color=None): |
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156 | """ |
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157 | Interactively define a mask. It retruns a mask that is equivalent to |
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158 | the one created manually with scantable.create_mask. |
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159 | Parameters: |
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160 | nwin: The number of mask windows to create interactively |
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161 | default is 1. |
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162 | panel: Which panel to use for mask selection. This is useful |
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163 | if different IFs are spread over panels (default 0) |
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164 | """ |
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165 | if self._data is None: |
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166 | return [] |
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167 | outmask = [] |
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168 | self._plotter.subplot(panel) |
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169 | xmin, xmax = self._plotter.axes.get_xlim() |
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170 | marg = 0.05*(xmax-xmin) |
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171 | self._plotter.axes.set_xlim(xmin-marg, xmax+marg) |
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172 | self.refresh() |
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173 | |
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174 | def cleanup(lines=False, texts=False, refresh=False): |
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175 | if lines: |
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176 | del self._plotter.axes.lines[-1] |
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177 | if texts: |
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178 | del self._plotter.axes.texts[-1] |
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179 | if refresh: |
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180 | self.refresh() |
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181 | |
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182 | for w in xrange(nwin): |
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183 | wpos = [] |
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184 | self.text(0.05,1.0, "Add start boundary", |
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185 | coords="relative", fontsize=10) |
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186 | point = self._plotter.get_point() |
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187 | cleanup(texts=True) |
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188 | if point is None: |
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189 | continue |
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190 | wpos.append(point[0]) |
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191 | self.axvline(wpos[0], color=color) |
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192 | self.text(0.05,1.0, "Add end boundary", coords="relative", fontsize=10) |
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193 | point = self._plotter.get_point() |
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194 | cleanup(texts=True, lines=True) |
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195 | if point is None: |
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196 | self.refresh() |
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197 | continue |
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198 | wpos.append(point[0]) |
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199 | self.axvspan(wpos[0], wpos[1], alpha=0.1, |
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200 | edgecolor=color, facecolor=color) |
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201 | ymin, ymax = self._plotter.axes.get_ylim() |
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202 | outmask.append(wpos) |
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203 | |
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204 | self._plotter.axes.set_xlim(xmin, xmax) |
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205 | self.refresh() |
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206 | if len(outmask) > 0: |
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207 | return self._data.create_mask(*outmask) |
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208 | return [] |
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209 | |
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210 | # forwards to matplotlib axes |
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211 | def text(self, *args, **kwargs): |
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212 | if kwargs.has_key("interactive"): |
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213 | if kwargs.pop("interactive"): |
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214 | pos = self._plotter.get_point() |
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215 | args = tuple(pos)+args |
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216 | self._axes_callback("text", *args, **kwargs) |
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217 | |
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218 | text.__doc__ = matplotlib.axes.Axes.text.__doc__ |
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219 | |
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220 | def arrow(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_region() |
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224 | dpos = (pos[0][0], pos[0][1], |
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225 | pos[1][0]-pos[0][0], |
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226 | pos[1][1] - pos[0][1]) |
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227 | args = dpos + args |
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228 | self._axes_callback("arrow", *args, **kwargs) |
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229 | |
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230 | arrow.__doc__ = matplotlib.axes.Axes.arrow.__doc__ |
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231 | |
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232 | def annotate(self, text, xy=None, xytext=None, **kwargs): |
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233 | if kwargs.has_key("interactive"): |
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234 | if kwargs.pop("interactive"): |
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235 | xy = self._plotter.get_point() |
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236 | xytext = self._plotter.get_point() |
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237 | if not kwargs.has_key("arrowprops"): |
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238 | kwargs["arrowprops"] = dict(arrowstyle="->") |
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239 | self._axes_callback("annotate", text, xy, xytext, **kwargs) |
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240 | |
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241 | annotate.__doc__ = matplotlib.axes.Axes.annotate.__doc__ |
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242 | |
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243 | def axvline(self, *args, **kwargs): |
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244 | if kwargs.has_key("interactive"): |
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245 | if kwargs.pop("interactive"): |
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246 | pos = self._plotter.get_point() |
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247 | args = (pos[0],)+args |
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248 | self._axes_callback("axvline", *args, **kwargs) |
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249 | |
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250 | axvline.__doc__ = matplotlib.axes.Axes.axvline.__doc__ |
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251 | |
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252 | def axhline(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_point() |
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256 | args = (pos[1],)+args |
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257 | self._axes_callback("axhline", *args, **kwargs) |
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258 | |
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259 | axhline.__doc__ = matplotlib.axes.Axes.axhline.__doc__ |
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260 | |
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261 | def axvspan(self, *args, **kwargs): |
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262 | if kwargs.has_key("interactive"): |
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263 | if kwargs.pop("interactive"): |
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264 | pos = self._plotter.get_region() |
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265 | dpos = (pos[0][0], pos[1][0]) |
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266 | args = dpos + args |
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267 | self._axes_callback("axvspan", *args, **kwargs) |
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268 | # hack to preventy mpl from redrawing the patch |
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269 | # it seem to convert the patch into lines on every draw. |
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270 | # This doesn't happen in a test script??? |
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271 | #del self._plotter.axes.patches[-1] |
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272 | |
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273 | axvspan.__doc__ = matplotlib.axes.Axes.axvspan.__doc__ |
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274 | |
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275 | def axhspan(self, *args, **kwargs): |
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276 | if kwargs.has_key("interactive"): |
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277 | if kwargs.pop("interactive"): |
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278 | pos = self._plotter.get_region() |
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279 | dpos = (pos[0][1], pos[1][1]) |
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280 | args = dpos + args |
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281 | self._axes_callback("axhspan", *args, **kwargs) |
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282 | # hack to preventy mpl from redrawing the patch |
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283 | # it seem to convert the patch into lines on every draw. |
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284 | # This doesn't happen in a test script??? |
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285 | #del self._plotter.axes.patches[-1] |
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286 | |
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287 | axhspan.__doc__ = matplotlib.axes.Axes.axhspan.__doc__ |
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288 | |
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289 | def _axes_callback(self, axesfunc, *args, **kwargs): |
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290 | panel = 0 |
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291 | if kwargs.has_key("panel"): |
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292 | panel = kwargs.pop("panel") |
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293 | coords = None |
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294 | if kwargs.has_key("coords"): |
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295 | coords = kwargs.pop("coords") |
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296 | if coords.lower() == 'world': |
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297 | kwargs["transform"] = self._plotter.axes.transData |
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298 | elif coords.lower() == 'relative': |
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299 | kwargs["transform"] = self._plotter.axes.transAxes |
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300 | self._plotter.subplot(panel) |
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301 | self._plotter.axes.set_autoscale_on(False) |
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302 | getattr(self._plotter.axes, axesfunc)(*args, **kwargs) |
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303 | self._plotter.show(False) |
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304 | self._plotter.axes.set_autoscale_on(True) |
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305 | # end matplotlib.axes fowarding functions |
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306 | |
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307 | @asaplog_post_dec |
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308 | def set_data(self, scan, refresh=True): |
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309 | """ |
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310 | Set a scantable to plot. |
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311 | Parameters: |
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312 | scan: a scantable |
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313 | refresh: True (default) or False. If True, the plot is |
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314 | replotted based on the new parameter setting(s). |
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315 | Otherwise,the parameter(s) are set without replotting. |
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316 | Note: |
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317 | The user specified masks and data selections will be reset |
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318 | if a new scantable is set. This method should be called before |
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319 | setting data selections (set_selection) and/or masks (set_mask). |
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320 | """ |
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321 | from asap import scantable |
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322 | if isinstance(scan, scantable): |
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323 | if self._data is not None: |
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324 | if scan != self._data: |
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325 | del self._data |
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326 | self._data = scan |
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327 | # reset |
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328 | self._reset() |
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329 | msg = "A new scantable is set to the plotter. "\ |
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330 | "The masks and data selections are reset." |
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331 | asaplog.push( msg ) |
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332 | else: |
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333 | self._data = scan |
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334 | self._reset() |
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335 | else: |
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336 | msg = "Input is not a scantable" |
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337 | raise TypeError(msg) |
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338 | |
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339 | # ranges become invalid when unit changes |
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340 | if self._abcunit and self._abcunit != self._data.get_unit(): |
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341 | self._minmaxx = None |
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342 | self._minmaxy = None |
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343 | self._abcunit = self._data.get_unit() |
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344 | self._datamask = None |
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345 | if refresh: self.plot() |
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346 | |
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347 | @asaplog_post_dec |
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348 | def set_mode(self, stacking=None, panelling=None, refresh=True): |
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349 | """ |
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350 | Set the plots look and feel, i.e. what you want to see on the plot. |
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351 | Parameters: |
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352 | stacking: tell the plotter which variable to plot |
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353 | as line colour overlays (default 'pol') |
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354 | panelling: tell the plotter which variable to plot |
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355 | across multiple panels (default 'scan' |
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356 | refresh: True (default) or False. If True, the plot is |
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357 | replotted based on the new parameter setting(s). |
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358 | Otherwise,the parameter(s) are set without replotting. |
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359 | Note: |
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360 | Valid modes are: |
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361 | 'beam' 'Beam' 'b': Beams |
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362 | 'if' 'IF' 'i': IFs |
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363 | 'pol' 'Pol' 'p': Polarisations |
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364 | 'scan' 'Scan' 's': Scans |
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365 | 'time' 'Time' 't': Times |
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366 | 'row' 'Row' 'r': Rows |
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367 | When either 'stacking' or 'panelling' is set to 'row', |
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368 | the other parameter setting is ignored. |
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369 | """ |
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370 | msg = "Invalid mode" |
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371 | if not self.set_panelling(panelling) or \ |
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372 | not self.set_stacking(stacking): |
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373 | raise TypeError(msg) |
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374 | #if self._panelling == 'r': |
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375 | # self._stacking = '_r' |
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376 | #if self._stacking == 'r': |
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377 | # self._panelling = '_r' |
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378 | if refresh and self._data: self.plot(self._data) |
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379 | return |
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380 | |
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381 | def set_panelling(self, what=None): |
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382 | """Set the 'panelling' mode i.e. which type of spectra should be |
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383 | spread across different panels. |
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384 | """ |
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385 | |
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386 | mode = what |
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387 | if mode is None: |
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388 | mode = rcParams['plotter.panelling'] |
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389 | md = self._translate(mode) |
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390 | if md: |
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391 | self._panelling = md |
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392 | self._title = None |
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393 | #if md == 'r': |
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394 | # self._stacking = '_r' |
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395 | # you need to reset counters for multi page plotting |
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396 | self._reset_counters() |
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397 | return True |
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398 | return False |
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399 | |
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400 | def set_layout(self,rows=None,cols=None,refresh=True): |
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401 | """ |
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402 | Set the multi-panel layout, i.e. how many rows and columns plots |
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403 | are visible. |
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404 | Parameters: |
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405 | rows: The number of rows of plots |
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406 | cols: The number of columns of plots |
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407 | refresh: True (default) or False. If True, the plot is |
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408 | replotted based on the new parameter setting(s). |
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409 | Otherwise,the parameter(s) are set without replotting. |
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410 | Note: |
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411 | If no argument is given, the potter reverts to its auto-plot |
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412 | behaviour. |
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413 | """ |
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414 | self._rows = rows |
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415 | self._cols = cols |
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416 | if refresh and self._data: self.plot(self._data) |
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417 | return |
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418 | |
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419 | def set_stacking(self, what=None): |
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420 | """Set the 'stacking' mode i.e. which type of spectra should be |
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421 | overlayed. |
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422 | """ |
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423 | mode = what |
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424 | if mode is None: |
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425 | mode = rcParams['plotter.stacking'] |
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426 | md = self._translate(mode) |
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427 | if md: |
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428 | self._stacking = md |
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429 | self._lmap = None |
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430 | #if md == 'r': |
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431 | # self._panelling = '_r' |
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432 | # you need to reset counters for multi page plotting |
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433 | self._reset_counters() |
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434 | return True |
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435 | return False |
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436 | |
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437 | def _reset_counters(self): |
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438 | self._startrow = 0 |
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439 | self._ipanel = -1 |
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440 | self._panelrows = [] |
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441 | |
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442 | def set_range(self,xstart=None,xend=None,ystart=None,yend=None,refresh=True, offset=None): |
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443 | """ |
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444 | Set the range of interest on the abcissa of the plot |
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445 | Parameters: |
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446 | [x,y]start,[x,y]end: The start and end points of the 'zoom' window |
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447 | refresh: True (default) or False. If True, the plot is |
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448 | replotted based on the new parameter setting(s). |
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449 | Otherwise,the parameter(s) are set without replotting. |
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450 | offset: shift the abcissa by the given amount. The abcissa label will |
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451 | have '(relative)' appended to it. |
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452 | Note: |
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453 | These become non-sensical when the unit changes. |
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454 | use plotter.set_range() without parameters to reset |
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455 | |
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456 | """ |
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457 | self._offset = offset |
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458 | if xstart is None and xend is None: |
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459 | self._minmaxx = None |
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460 | else: |
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461 | self._minmaxx = [xstart,xend] |
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462 | if ystart is None and yend is None: |
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463 | self._minmaxy = None |
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464 | else: |
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465 | self._minmaxy = [ystart,yend] |
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466 | if refresh and self._data: self.plot(self._data) |
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467 | return |
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468 | |
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469 | def set_legend(self, mp=None, fontsize = None, mode = 0, refresh=True): |
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470 | """ |
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471 | Specify a mapping for the legend instead of using the default |
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472 | indices: |
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473 | Parameters: |
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474 | mp: a list of 'strings'. This should have the same length |
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475 | as the number of elements on the legend and then maps |
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476 | to the indeces in order. It is possible to uses latex |
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477 | math expression. These have to be enclosed in r'', |
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478 | e.g. r'$x^{2}$' |
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479 | fontsize: The font size of the label (default None) |
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480 | mode: where to display the legend |
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481 | Any other value for loc else disables the legend: |
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482 | 0: auto |
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483 | 1: upper right |
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484 | 2: upper left |
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485 | 3: lower left |
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486 | 4: lower right |
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487 | 5: right |
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488 | 6: center left |
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489 | 7: center right |
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490 | 8: lower center |
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491 | 9: upper center |
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492 | 10: center |
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493 | refresh: True (default) or False. If True, the plot is |
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494 | replotted based on the new parameter setting(s). |
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495 | Otherwise,the parameter(s) are set without replotting. |
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496 | |
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497 | Example: |
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498 | If the data has two IFs/rest frequencies with index 0 and 1 |
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499 | for CO and SiO: |
---|
500 | plotter.set_stacking('i') |
---|
501 | plotter.set_legend(['CO','SiO']) |
---|
502 | plotter.plot() |
---|
503 | plotter.set_legend([r'$^{12}CO$', r'SiO']) |
---|
504 | """ |
---|
505 | self._lmap = mp |
---|
506 | self._plotter.legend(mode) |
---|
507 | if isinstance(fontsize, int): |
---|
508 | from matplotlib import rc as rcp |
---|
509 | rcp('legend', fontsize=fontsize) |
---|
510 | if refresh and self._data: self.plot(self._data) |
---|
511 | return |
---|
512 | |
---|
513 | def set_title(self, title=None, fontsize=None, refresh=True): |
---|
514 | """ |
---|
515 | Set the title of the plot. If multiple panels are plotted, |
---|
516 | multiple titles have to be specified. |
---|
517 | Parameters: |
---|
518 | refresh: True (default) or False. If True, the plot is |
---|
519 | replotted based on the new parameter setting(s). |
---|
520 | Otherwise,the parameter(s) are set without replotting. |
---|
521 | Example: |
---|
522 | # two panels are visible on the plotter |
---|
523 | plotter.set_title(["First Panel","Second Panel"]) |
---|
524 | """ |
---|
525 | self._title = title |
---|
526 | if isinstance(fontsize, int): |
---|
527 | from matplotlib import rc as rcp |
---|
528 | rcp('axes', titlesize=fontsize) |
---|
529 | if refresh and self._data: self.plot(self._data) |
---|
530 | return |
---|
531 | |
---|
532 | def set_ordinate(self, ordinate=None, fontsize=None, refresh=True): |
---|
533 | """ |
---|
534 | Set the y-axis label of the plot. If multiple panels are plotted, |
---|
535 | multiple labels have to be specified. |
---|
536 | Parameters: |
---|
537 | ordinate: a list of ordinate labels. None (default) let |
---|
538 | data determine the labels |
---|
539 | refresh: True (default) or False. If True, the plot is |
---|
540 | replotted based on the new parameter setting(s). |
---|
541 | Otherwise,the parameter(s) are set without replotting. |
---|
542 | Example: |
---|
543 | # two panels are visible on the plotter |
---|
544 | plotter.set_ordinate(["First Y-Axis","Second Y-Axis"]) |
---|
545 | """ |
---|
546 | self._ordinate = ordinate |
---|
547 | if isinstance(fontsize, int): |
---|
548 | from matplotlib import rc as rcp |
---|
549 | rcp('axes', labelsize=fontsize) |
---|
550 | rcp('ytick', labelsize=fontsize) |
---|
551 | if refresh and self._data: self.plot(self._data) |
---|
552 | return |
---|
553 | |
---|
554 | def set_abcissa(self, abcissa=None, fontsize=None, refresh=True): |
---|
555 | """ |
---|
556 | Set the x-axis label of the plot. If multiple panels are plotted, |
---|
557 | multiple labels have to be specified. |
---|
558 | Parameters: |
---|
559 | abcissa: a list of abcissa labels. None (default) let |
---|
560 | data determine the labels |
---|
561 | refresh: True (default) or False. If True, the plot is |
---|
562 | replotted based on the new parameter setting(s). |
---|
563 | Otherwise,the parameter(s) are set without replotting. |
---|
564 | Example: |
---|
565 | # two panels are visible on the plotter |
---|
566 | plotter.set_ordinate(["First X-Axis","Second X-Axis"]) |
---|
567 | """ |
---|
568 | self._abcissa = abcissa |
---|
569 | if isinstance(fontsize, int): |
---|
570 | from matplotlib import rc as rcp |
---|
571 | rcp('axes', labelsize=fontsize) |
---|
572 | rcp('xtick', labelsize=fontsize) |
---|
573 | if refresh and self._data: self.plot(self._data) |
---|
574 | return |
---|
575 | |
---|
576 | def set_colors(self, colmap, refresh=True): |
---|
577 | """ |
---|
578 | Set the colours to be used. The plotter will cycle through |
---|
579 | these colours when lines are overlaid (stacking mode). |
---|
580 | Parameters: |
---|
581 | colmap: a list of colour names |
---|
582 | refresh: True (default) or False. If True, the plot is |
---|
583 | replotted based on the new parameter setting(s). |
---|
584 | Otherwise,the parameter(s) are set without replotting. |
---|
585 | Example: |
---|
586 | plotter.set_colors("red green blue") |
---|
587 | # If for example four lines are overlaid e.g I Q U V |
---|
588 | # 'I' will be 'red', 'Q' will be 'green', U will be 'blue' |
---|
589 | # and 'V' will be 'red' again. |
---|
590 | """ |
---|
591 | if isinstance(colmap,str): |
---|
592 | colmap = colmap.split() |
---|
593 | self._plotter.palette(0, colormap=colmap) |
---|
594 | if refresh and self._data: self.plot(self._data) |
---|
595 | |
---|
596 | # alias for english speakers |
---|
597 | set_colours = set_colors |
---|
598 | |
---|
599 | def set_histogram(self, hist=True, linewidth=None, refresh=True): |
---|
600 | """ |
---|
601 | Enable/Disable histogram-like plotting. |
---|
602 | Parameters: |
---|
603 | hist: True (default) or False. The fisrt default |
---|
604 | is taken from the .asaprc setting |
---|
605 | plotter.histogram |
---|
606 | refresh: True (default) or False. If True, the plot is |
---|
607 | replotted based on the new parameter setting(s). |
---|
608 | Otherwise,the parameter(s) are set without replotting. |
---|
609 | """ |
---|
610 | self._hist = hist |
---|
611 | if isinstance(linewidth, float) or isinstance(linewidth, int): |
---|
612 | from matplotlib import rc as rcp |
---|
613 | rcp('lines', linewidth=linewidth) |
---|
614 | if refresh and self._data: self.plot(self._data) |
---|
615 | |
---|
616 | def set_linestyles(self, linestyles=None, linewidth=None, refresh=True): |
---|
617 | """ |
---|
618 | Set the linestyles to be used. The plotter will cycle through |
---|
619 | these linestyles when lines are overlaid (stacking mode) AND |
---|
620 | only one color has been set. |
---|
621 | Parameters: |
---|
622 | linestyles: a list of linestyles to use. |
---|
623 | 'line', 'dashed', 'dotted', 'dashdot', |
---|
624 | 'dashdotdot' and 'dashdashdot' are |
---|
625 | possible |
---|
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 | Example: |
---|
630 | plotter.set_colors("black") |
---|
631 | plotter.set_linestyles("line dashed dotted dashdot") |
---|
632 | # If for example four lines are overlaid e.g I Q U V |
---|
633 | # 'I' will be 'solid', 'Q' will be 'dashed', |
---|
634 | # U will be 'dotted' and 'V' will be 'dashdot'. |
---|
635 | """ |
---|
636 | if isinstance(linestyles,str): |
---|
637 | linestyles = linestyles.split() |
---|
638 | self._plotter.palette(color=0,linestyle=0,linestyles=linestyles) |
---|
639 | if isinstance(linewidth, float) or isinstance(linewidth, int): |
---|
640 | from matplotlib import rc as rcp |
---|
641 | rcp('lines', linewidth=linewidth) |
---|
642 | if refresh and self._data: self.plot(self._data) |
---|
643 | |
---|
644 | def set_font(self, refresh=True,**kwargs): |
---|
645 | """ |
---|
646 | Set font properties. |
---|
647 | Parameters: |
---|
648 | family: one of 'sans-serif', 'serif', 'cursive', 'fantasy', 'monospace' |
---|
649 | style: one of 'normal' (or 'roman'), 'italic' or 'oblique' |
---|
650 | weight: one of 'normal or 'bold' |
---|
651 | size: the 'general' font size, individual elements can be adjusted |
---|
652 | seperately |
---|
653 | refresh: True (default) or False. If True, the plot is |
---|
654 | replotted based on the new parameter setting(s). |
---|
655 | Otherwise,the parameter(s) are set without replotting. |
---|
656 | """ |
---|
657 | from matplotlib import rc as rcp |
---|
658 | fdict = {} |
---|
659 | for k,v in kwargs.iteritems(): |
---|
660 | if v: |
---|
661 | fdict[k] = v |
---|
662 | self._fp = FontProperties(**fdict) |
---|
663 | if refresh and self._data: self.plot(self._data) |
---|
664 | |
---|
665 | def set_margin(self,margin=[],refresh=True): |
---|
666 | """ |
---|
667 | Set margins between subplots and plot edges. |
---|
668 | Parameters: |
---|
669 | margin: a list of margins in figure coordinate (0-1), |
---|
670 | i.e., fraction of the figure width or height. |
---|
671 | The order of elements should be: |
---|
672 | [left, bottom, right, top, horizontal space btw panels, |
---|
673 | vertical space btw panels]. |
---|
674 | refresh: True (default) or False. If True, the plot is |
---|
675 | replotted based on the new parameter setting(s). |
---|
676 | Otherwise,the parameter(s) are set without replotting. |
---|
677 | Note |
---|
678 | * When margin is not specified, the values are reset to the defaults |
---|
679 | of matplotlib. |
---|
680 | * If any element is set to be None, the current value is adopted. |
---|
681 | """ |
---|
682 | if margin == []: self._margins=self._reset_margin() |
---|
683 | else: |
---|
684 | self._margins=[None]*6 |
---|
685 | self._margins[0:len(margin)]=margin |
---|
686 | #print "panel margin set to ",self._margins |
---|
687 | if refresh and self._data: self.plot(self._data) |
---|
688 | |
---|
689 | def _reset_margin(self): |
---|
690 | ks=map(lambda x: 'figure.subplot.'+x, |
---|
691 | ['left','bottom','right','top','hspace','wspace']) |
---|
692 | return map(matplotlib.rcParams.get,ks) |
---|
693 | |
---|
694 | def plot_lines(self, linecat=None, doppler=0.0, deltachan=10, rotate=90.0, |
---|
695 | location=None): |
---|
696 | """ |
---|
697 | Plot a line catalog. |
---|
698 | Parameters: |
---|
699 | linecat: the linecatalog to plot |
---|
700 | doppler: the velocity shift to apply to the frequencies |
---|
701 | deltachan: the number of channels to include each side of the |
---|
702 | line to determine a local maximum/minimum |
---|
703 | rotate: the rotation (in degrees) for the text label (default 90.0) |
---|
704 | location: the location of the line annotation from the 'top', |
---|
705 | 'bottom' or alternate (None - the default) |
---|
706 | Notes: |
---|
707 | If the spectrum is flagged no line will be drawn in that location. |
---|
708 | """ |
---|
709 | if not self._data: |
---|
710 | raise RuntimeError("No scantable has been plotted yet.") |
---|
711 | from asap._asap import linecatalog |
---|
712 | if not isinstance(linecat, linecatalog): |
---|
713 | raise ValueError("'linecat' isn't of type linecatalog.") |
---|
714 | if not self._data.get_unit().endswith("Hz"): |
---|
715 | raise RuntimeError("Can only overlay linecatalogs when data is in frequency.") |
---|
716 | from numpy import ma |
---|
717 | for j in range(len(self._plotter.subplots)): |
---|
718 | self._plotter.subplot(j) |
---|
719 | lims = self._plotter.axes.get_xlim() |
---|
720 | for row in range(linecat.nrow()): |
---|
721 | # get_frequency returns MHz |
---|
722 | base = { "GHz": 1000.0, "MHz": 1.0, "Hz": 1.0e-6 } |
---|
723 | restf = linecat.get_frequency(row)/base[self._data.get_unit()] |
---|
724 | c = 299792.458 |
---|
725 | freq = restf*(1.0-doppler/c) |
---|
726 | if lims[0] < freq < lims[1]: |
---|
727 | if location is None: |
---|
728 | loc = 'bottom' |
---|
729 | if row%2: loc='top' |
---|
730 | else: loc = location |
---|
731 | maxys = [] |
---|
732 | for line in self._plotter.axes.lines: |
---|
733 | v = line._x |
---|
734 | asc = v[0] < v[-1] |
---|
735 | |
---|
736 | idx = None |
---|
737 | if not asc: |
---|
738 | if v[len(v)-1] <= freq <= v[0]: |
---|
739 | i = len(v)-1 |
---|
740 | while i>=0 and v[i] < freq: |
---|
741 | idx = i |
---|
742 | i-=1 |
---|
743 | else: |
---|
744 | if v[0] <= freq <= v[len(v)-1]: |
---|
745 | i = 0 |
---|
746 | while i<len(v) and v[i] < freq: |
---|
747 | idx = i |
---|
748 | i+=1 |
---|
749 | if idx is not None: |
---|
750 | lower = idx - deltachan |
---|
751 | upper = idx + deltachan |
---|
752 | if lower < 0: lower = 0 |
---|
753 | if upper > len(v): upper = len(v) |
---|
754 | s = slice(lower, upper) |
---|
755 | y = line._y[s] |
---|
756 | maxy = ma.maximum(y) |
---|
757 | if isinstance( maxy, float): |
---|
758 | maxys.append(maxy) |
---|
759 | if len(maxys): |
---|
760 | peak = max(maxys) |
---|
761 | if peak > self._plotter.axes.get_ylim()[1]: |
---|
762 | loc = 'bottom' |
---|
763 | else: |
---|
764 | continue |
---|
765 | self._plotter.vline_with_label(freq, peak, |
---|
766 | linecat.get_name(row), |
---|
767 | location=loc, rotate=rotate) |
---|
768 | self._plotter.show(hardrefresh=False) |
---|
769 | |
---|
770 | |
---|
771 | def save(self, filename=None, orientation=None, dpi=None): |
---|
772 | """ |
---|
773 | Save the plot to a file. The known formats are 'png', 'ps', 'eps'. |
---|
774 | Parameters: |
---|
775 | filename: The name of the output file. This is optional |
---|
776 | and autodetects the image format from the file |
---|
777 | suffix. If non filename is specified a file |
---|
778 | called 'yyyymmdd_hhmmss.png' is created in the |
---|
779 | current directory. |
---|
780 | orientation: optional parameter for postscript only (not eps). |
---|
781 | 'landscape', 'portrait' or None (default) are valid. |
---|
782 | If None is choosen for 'ps' output, the plot is |
---|
783 | automatically oriented to fill the page. |
---|
784 | dpi: The dpi of the output non-ps plot |
---|
785 | """ |
---|
786 | self._plotter.save(filename,orientation,dpi) |
---|
787 | return |
---|
788 | |
---|
789 | @asaplog_post_dec |
---|
790 | def set_mask(self, mask=None, selection=None, refresh=True): |
---|
791 | """ |
---|
792 | Set a plotting mask for a specific polarization. |
---|
793 | This is useful for masking out "noise" Pangle outside a source. |
---|
794 | Parameters: |
---|
795 | mask: a mask from scantable.create_mask |
---|
796 | selection: the spectra to apply the mask to. |
---|
797 | refresh: True (default) or False. If True, the plot is |
---|
798 | replotted based on the new parameter setting(s). |
---|
799 | Otherwise,the parameter(s) are set without replotting. |
---|
800 | Example: |
---|
801 | select = selector() |
---|
802 | select.setpolstrings("Pangle") |
---|
803 | plotter.set_mask(mymask, select) |
---|
804 | """ |
---|
805 | if not self._data: |
---|
806 | msg = "Can only set mask after a first call to plot()" |
---|
807 | raise RuntimeError(msg) |
---|
808 | if len(mask): |
---|
809 | if isinstance(mask, list) or isinstance(mask, tuple): |
---|
810 | self._usermask = array(mask) |
---|
811 | else: |
---|
812 | self._usermask = mask |
---|
813 | if mask is None and selection is None: |
---|
814 | self._usermask = [] |
---|
815 | self._maskselection = None |
---|
816 | if isinstance(selection, selector): |
---|
817 | self._maskselection = {'b': selection.get_beams(), |
---|
818 | 's': selection.get_scans(), |
---|
819 | 'i': selection.get_ifs(), |
---|
820 | 'p': selection.get_pols(), |
---|
821 | 't': [] } |
---|
822 | else: |
---|
823 | self._maskselection = None |
---|
824 | if refresh: self.plot(self._data) |
---|
825 | |
---|
826 | def _slice_indeces(self, data): |
---|
827 | mn = self._minmaxx[0] |
---|
828 | mx = self._minmaxx[1] |
---|
829 | asc = data[0] < data[-1] |
---|
830 | start=0 |
---|
831 | end = len(data)-1 |
---|
832 | inc = 1 |
---|
833 | if not asc: |
---|
834 | start = len(data)-1 |
---|
835 | end = 0 |
---|
836 | inc = -1 |
---|
837 | # find min index |
---|
838 | #while start > 0 and data[start] < mn: |
---|
839 | # start+= inc |
---|
840 | minind=start |
---|
841 | for ind in xrange(start,end+inc,inc): |
---|
842 | if data[ind] > mn: break |
---|
843 | minind=ind |
---|
844 | # find max index |
---|
845 | #while end > 0 and data[end] > mx: |
---|
846 | # end-=inc |
---|
847 | #if end > 0: end +=1 |
---|
848 | maxind=end |
---|
849 | for ind in xrange(end,start-inc,-inc): |
---|
850 | if data[ind] < mx: break |
---|
851 | maxind=ind |
---|
852 | start=minind |
---|
853 | end=maxind |
---|
854 | if start > end: |
---|
855 | return end,start+1 |
---|
856 | elif start < end: |
---|
857 | return start,end+1 |
---|
858 | else: |
---|
859 | return start,end |
---|
860 | |
---|
861 | def _reset(self): |
---|
862 | self._usermask = [] |
---|
863 | self._usermaskspectra = None |
---|
864 | self._offset = None |
---|
865 | self.set_selection(None, False) |
---|
866 | self._reset_header() |
---|
867 | |
---|
868 | def _reset_header(self): |
---|
869 | self._headtext={'string': None, 'textobj': None} |
---|
870 | |
---|
871 | def _plot(self, scan): |
---|
872 | savesel = scan.get_selection() |
---|
873 | sel = savesel + self._selection |
---|
874 | order = self._get_sortstring([self._panelling,self._stacking]) |
---|
875 | if order: |
---|
876 | sel.set_order(order) |
---|
877 | scan.set_selection(sel) |
---|
878 | d = {'b': scan.getbeam, 's': scan.getscan, |
---|
879 | 'i': scan.getif, 'p': scan.getpol, 't': scan.get_time, |
---|
880 | 'r': int}#, '_r': int} |
---|
881 | |
---|
882 | polmodes = dict(zip(self._selection.get_pols(), |
---|
883 | self._selection.get_poltypes())) |
---|
884 | # this returns either a tuple of numbers or a length (ncycles) |
---|
885 | # convert this into lengths |
---|
886 | n0,nstack0 = self._get_selected_n(scan) |
---|
887 | if isinstance(n0, int): n = n0 |
---|
888 | else: n = len(n0) |
---|
889 | if isinstance(nstack0, int): nstack = nstack0 |
---|
890 | else: nstack = len(nstack0) |
---|
891 | # In case of row stacking |
---|
892 | rowstack = False |
---|
893 | titlemode = self._panelling |
---|
894 | if self._stacking == "r" and self._panelling != "r": |
---|
895 | rowstack = True |
---|
896 | titlemode = '_r' |
---|
897 | nptot = n |
---|
898 | maxpanel, maxstack = 16,16 |
---|
899 | if nstack > maxstack: |
---|
900 | msg ="Scan to be overlayed contains more than %d selections.\n" \ |
---|
901 | "Selecting first %d selections..." % (maxstack, maxstack) |
---|
902 | asaplog.push(msg) |
---|
903 | asaplog.post('WARN') |
---|
904 | nstack = min(nstack,maxstack) |
---|
905 | #n = min(n-self._ipanel-1,maxpanel) |
---|
906 | n = n-self._ipanel-1 |
---|
907 | |
---|
908 | ganged = False |
---|
909 | if n > 1: |
---|
910 | ganged = rcParams['plotter.ganged'] |
---|
911 | if self._panelling == 'i': |
---|
912 | ganged = False |
---|
913 | if self._rows and self._cols: |
---|
914 | n = min(n,self._rows*self._cols) |
---|
915 | self._plotter.set_panels(rows=self._rows,cols=self._cols, |
---|
916 | nplots=n,margin=self._margins,ganged=ganged) |
---|
917 | else: |
---|
918 | n = min(n,maxpanel) |
---|
919 | self._plotter.set_panels(rows=n,cols=0,nplots=n,margin=self._margins,ganged=ganged) |
---|
920 | else: |
---|
921 | self._plotter.set_panels(margin=self._margins) |
---|
922 | #r = 0 |
---|
923 | r = self._startrow |
---|
924 | nr = scan.nrow() |
---|
925 | a0,b0 = -1,-1 |
---|
926 | allxlim = [] |
---|
927 | allylim = [] |
---|
928 | #newpanel=True |
---|
929 | newpanel=False |
---|
930 | panelcount,stackcount = 0,0 |
---|
931 | # If this is not the first page |
---|
932 | if r > 0: |
---|
933 | # panelling value of the prev page |
---|
934 | a0 = d[self._panelling](r-1) |
---|
935 | # set the initial stackcount large not to plot |
---|
936 | # the start row automatically |
---|
937 | stackcount = nstack |
---|
938 | |
---|
939 | while r < nr: |
---|
940 | a = d[self._panelling](r) |
---|
941 | b = d[self._stacking](r) |
---|
942 | if a > a0 and panelcount < n: |
---|
943 | if n > 1: |
---|
944 | self._plotter.subplot(panelcount) |
---|
945 | self._plotter.palette(0) |
---|
946 | #title |
---|
947 | xlab = self._abcissa and self._abcissa[panelcount] \ |
---|
948 | or scan._getabcissalabel() |
---|
949 | if self._offset and not self._abcissa: |
---|
950 | xlab += " (relative)" |
---|
951 | ylab = self._ordinate and self._ordinate[panelcount] \ |
---|
952 | or scan._get_ordinate_label() |
---|
953 | self._plotter.set_axes('xlabel', xlab) |
---|
954 | self._plotter.set_axes('ylabel', ylab) |
---|
955 | #lbl = self._get_label(scan, r, self._panelling, self._title) |
---|
956 | lbl = self._get_label(scan, r, titlemode, self._title) |
---|
957 | if isinstance(lbl, list) or isinstance(lbl, tuple): |
---|
958 | if 0 <= panelcount < len(lbl): |
---|
959 | lbl = lbl[panelcount] |
---|
960 | else: |
---|
961 | # get default label |
---|
962 | #lbl = self._get_label(scan, r, self._panelling, None) |
---|
963 | lbl = self._get_label(scan, r, titlemode, None) |
---|
964 | self._plotter.set_axes('title',lbl) |
---|
965 | newpanel = True |
---|
966 | stackcount = 0 |
---|
967 | panelcount += 1 |
---|
968 | # save the start row to plot this panel for future revisit. |
---|
969 | if self._panelling != 'r' and \ |
---|
970 | len(self._panelrows) < self._ipanel+1+panelcount: |
---|
971 | self._panelrows += [r] |
---|
972 | |
---|
973 | #if (b > b0 or newpanel) and stackcount < nstack: |
---|
974 | if stackcount < nstack and (newpanel or rowstack or (a == a0 and b > b0)): |
---|
975 | y = [] |
---|
976 | if len(polmodes): |
---|
977 | y = scan._getspectrum(r, polmodes[scan.getpol(r)]) |
---|
978 | else: |
---|
979 | y = scan._getspectrum(r) |
---|
980 | # flag application |
---|
981 | mr = scan._getflagrow(r) |
---|
982 | from numpy import ma, array |
---|
983 | if mr: |
---|
984 | y = ma.masked_array(y,mask=mr) |
---|
985 | else: |
---|
986 | m = scan._getmask(r) |
---|
987 | from numpy import logical_not, logical_and |
---|
988 | if self._maskselection and len(self._usermask) == len(m): |
---|
989 | if d[self._stacking](r) in self._maskselection[self._stacking]: |
---|
990 | m = logical_and(m, self._usermask) |
---|
991 | y = ma.masked_array(y,mask=logical_not(array(m,copy=False))) |
---|
992 | |
---|
993 | x = array(scan._getabcissa(r)) |
---|
994 | if self._offset: |
---|
995 | x += self._offset |
---|
996 | if self._minmaxx is not None: |
---|
997 | s,e = self._slice_indeces(x) |
---|
998 | x = x[s:e] |
---|
999 | y = y[s:e] |
---|
1000 | if len(x) > 1024 and rcParams['plotter.decimate']: |
---|
1001 | fac = len(x)/1024 |
---|
1002 | x = x[::fac] |
---|
1003 | y = y[::fac] |
---|
1004 | llbl = self._get_label(scan, r, self._stacking, self._lmap) |
---|
1005 | if isinstance(llbl, list) or isinstance(llbl, tuple): |
---|
1006 | if 0 <= stackcount < len(llbl): |
---|
1007 | # use user label |
---|
1008 | llbl = llbl[stackcount] |
---|
1009 | else: |
---|
1010 | # get default label |
---|
1011 | llbl = self._get_label(scan, r, self._stacking, None) |
---|
1012 | self._plotter.set_line(label=llbl) |
---|
1013 | plotit = self._plotter.plot |
---|
1014 | if self._hist: plotit = self._plotter.hist |
---|
1015 | if len(x) > 0 and not mr: |
---|
1016 | plotit(x,y) |
---|
1017 | xlim= self._minmaxx or [min(x),max(x)] |
---|
1018 | allxlim += xlim |
---|
1019 | ylim= self._minmaxy or [ma.minimum(y),ma.maximum(y)] |
---|
1020 | allylim += ylim |
---|
1021 | else: |
---|
1022 | xlim = self._minmaxx or [] |
---|
1023 | allxlim += xlim |
---|
1024 | ylim= self._minmaxy or [] |
---|
1025 | allylim += ylim |
---|
1026 | stackcount += 1 |
---|
1027 | a0=a |
---|
1028 | b0=b |
---|
1029 | # last in colour stack -> autoscale x |
---|
1030 | if stackcount == nstack and len(allxlim) > 0: |
---|
1031 | allxlim.sort() |
---|
1032 | self._plotter.subplots[panelcount-1]['axes'].set_xlim([allxlim[0],allxlim[-1]]) |
---|
1033 | if ganged: |
---|
1034 | allxlim = [allxlim[0],allxlim[-1]] |
---|
1035 | else: |
---|
1036 | # clear |
---|
1037 | allxlim =[] |
---|
1038 | |
---|
1039 | newpanel = False |
---|
1040 | #a0=a |
---|
1041 | #b0=b |
---|
1042 | # ignore following rows |
---|
1043 | if (panelcount == n and stackcount == nstack) or (r == nr-1): |
---|
1044 | # last panel -> autoscale y if ganged |
---|
1045 | #if rcParams['plotter.ganged'] and len(allylim) > 0: |
---|
1046 | if ganged and len(allylim) > 0: |
---|
1047 | allylim.sort() |
---|
1048 | self._plotter.set_limits(ylim=[allylim[0],allylim[-1]]) |
---|
1049 | break |
---|
1050 | r+=1 # next row |
---|
1051 | |
---|
1052 | # save the current counter for multi-page plotting |
---|
1053 | self._startrow = r+1 |
---|
1054 | self._ipanel += panelcount |
---|
1055 | if self.casabar_exists(): |
---|
1056 | if self._ipanel >= nptot-1: |
---|
1057 | self._plotter.figmgr.casabar.disable_next() |
---|
1058 | else: |
---|
1059 | self._plotter.figmgr.casabar.enable_next() |
---|
1060 | if self._ipanel + 1 - panelcount > 0: |
---|
1061 | self._plotter.figmgr.casabar.enable_prev() |
---|
1062 | else: |
---|
1063 | self._plotter.figmgr.casabar.disable_prev() |
---|
1064 | |
---|
1065 | #reset the selector to the scantable's original |
---|
1066 | scan.set_selection(savesel) |
---|
1067 | |
---|
1068 | #temporary switch-off for older matplotlib |
---|
1069 | #if self._fp is not None: |
---|
1070 | if self._fp is not None and getattr(self._plotter.figure,'findobj',False): |
---|
1071 | for o in self._plotter.figure.findobj(Text): |
---|
1072 | o.set_fontproperties(self._fp) |
---|
1073 | |
---|
1074 | def _get_sortstring(self, lorders): |
---|
1075 | d0 = {'s': 'SCANNO', 'b': 'BEAMNO', 'i':'IFNO', |
---|
1076 | 'p': 'POLNO', 'c': 'CYCLENO', 't' : 'TIME', 'r':None, '_r':None } |
---|
1077 | if not (type(lorders) == list) and not (type(lorders) == tuple): |
---|
1078 | return None |
---|
1079 | if len(lorders) > 0: |
---|
1080 | lsorts = [] |
---|
1081 | for order in lorders: |
---|
1082 | if order == "r": |
---|
1083 | # don't sort if row panelling/stacking |
---|
1084 | return None |
---|
1085 | ssort = d0[order] |
---|
1086 | if ssort: |
---|
1087 | lsorts.append(ssort) |
---|
1088 | return lsorts |
---|
1089 | return None |
---|
1090 | |
---|
1091 | def set_selection(self, selection=None, refresh=True, **kw): |
---|
1092 | """ |
---|
1093 | Parameters: |
---|
1094 | selection: a selector object (default unset the selection) |
---|
1095 | refresh: True (default) or False. If True, the plot is |
---|
1096 | replotted based on the new parameter setting(s). |
---|
1097 | Otherwise,the parameter(s) are set without replotting. |
---|
1098 | """ |
---|
1099 | if selection is None: |
---|
1100 | # reset |
---|
1101 | if len(kw) == 0: |
---|
1102 | self._selection = selector() |
---|
1103 | else: |
---|
1104 | # try keywords |
---|
1105 | for k in kw: |
---|
1106 | if k not in selector.fields: |
---|
1107 | raise KeyError("Invalid selection key '%s', valid keys are %s" % (k, selector.fields)) |
---|
1108 | self._selection = selector(**kw) |
---|
1109 | elif isinstance(selection, selector): |
---|
1110 | self._selection = selection |
---|
1111 | else: |
---|
1112 | raise TypeError("'selection' is not of type selector") |
---|
1113 | |
---|
1114 | order = self._get_sortstring([self._panelling,self._stacking]) |
---|
1115 | if order: |
---|
1116 | self._selection.set_order(order) |
---|
1117 | if refresh and self._data: self.plot(self._data) |
---|
1118 | |
---|
1119 | def _get_selected_n(self, scan): |
---|
1120 | d1 = {'b': scan.getbeamnos, 's': scan.getscannos, |
---|
1121 | 'i': scan.getifnos, 'p': scan.getpolnos, 't': scan.ncycle, |
---|
1122 | 'r': scan.nrow}#, '_r': False} |
---|
1123 | d2 = { 'b': self._selection.get_beams(), |
---|
1124 | 's': self._selection.get_scans(), |
---|
1125 | 'i': self._selection.get_ifs(), |
---|
1126 | 'p': self._selection.get_pols(), |
---|
1127 | 't': self._selection.get_cycles(), |
---|
1128 | 'r': False}#, '_r': 1} |
---|
1129 | n = d2[self._panelling] or d1[self._panelling]() |
---|
1130 | nstack = d2[self._stacking] or d1[self._stacking]() |
---|
1131 | # handle row panelling/stacking |
---|
1132 | if self._panelling == 'r': |
---|
1133 | nstack = 1 |
---|
1134 | elif self._stacking == 'r': |
---|
1135 | n = 1 |
---|
1136 | return n,nstack |
---|
1137 | |
---|
1138 | def _get_label(self, scan, row, mode, userlabel=None): |
---|
1139 | if isinstance(userlabel, list) and len(userlabel) == 0: |
---|
1140 | userlabel = " " |
---|
1141 | pms = dict(zip(self._selection.get_pols(),self._selection.get_poltypes())) |
---|
1142 | if len(pms): |
---|
1143 | poleval = scan._getpollabel(scan.getpol(row),pms[scan.getpol(row)]) |
---|
1144 | else: |
---|
1145 | poleval = scan._getpollabel(scan.getpol(row),scan.poltype()) |
---|
1146 | d = {'b': "Beam "+str(scan.getbeam(row)), |
---|
1147 | #'s': scan._getsourcename(row), |
---|
1148 | 's': "Scan "+str(scan.getscan(row))+\ |
---|
1149 | " ("+str(scan._getsourcename(row))+")", |
---|
1150 | 'i': "IF"+str(scan.getif(row)), |
---|
1151 | 'p': poleval, |
---|
1152 | 't': str(scan.get_time(row)), |
---|
1153 | 'r': "row "+str(row), |
---|
1154 | #'_r': str(scan.get_time(row))+",\nIF"+str(scan.getif(row))+", "+poleval+", Beam"+str(scan.getbeam(row)) } |
---|
1155 | '_r': "" } |
---|
1156 | return userlabel or d[mode] |
---|
1157 | |
---|
1158 | def plotazel(self, scan=None, outfile=None): |
---|
1159 | """ |
---|
1160 | plot azimuth and elevation versus time of a scantable |
---|
1161 | """ |
---|
1162 | visible = rcParams['plotter.gui'] |
---|
1163 | from matplotlib import pylab as PL |
---|
1164 | from matplotlib.dates import DateFormatter, timezone |
---|
1165 | from matplotlib.dates import HourLocator, MinuteLocator,SecondLocator, DayLocator |
---|
1166 | from matplotlib.ticker import MultipleLocator |
---|
1167 | from numpy import array, pi |
---|
1168 | if not visible or not self._visible: |
---|
1169 | PL.ioff() |
---|
1170 | from matplotlib.backends.backend_agg import FigureCanvasAgg |
---|
1171 | PL.gcf().canvas.switch_backends(FigureCanvasAgg) |
---|
1172 | self._data = scan |
---|
1173 | self._outfile = outfile |
---|
1174 | dates = self._data.get_time(asdatetime=True) |
---|
1175 | t = PL.date2num(dates) |
---|
1176 | tz = timezone('UTC') |
---|
1177 | PL.cla() |
---|
1178 | PL.ioff() |
---|
1179 | PL.clf() |
---|
1180 | # Adjust subplot margins |
---|
1181 | if len(self._margins) != 6: |
---|
1182 | self.set_margin(refresh=False) |
---|
1183 | lef, bot, rig, top, wsp, hsp = self._margins |
---|
1184 | PL.gcf().subplots_adjust(left=lef,bottom=bot,right=rig,top=top, |
---|
1185 | wspace=wsp,hspace=hsp) |
---|
1186 | |
---|
1187 | tdel = max(t) - min(t) |
---|
1188 | ax = PL.subplot(2,1,1) |
---|
1189 | el = array(self._data.get_elevation())*180./pi |
---|
1190 | PL.ylabel('El [deg.]') |
---|
1191 | dstr = dates[0].strftime('%Y/%m/%d') |
---|
1192 | if tdel > 1.0: |
---|
1193 | dstr2 = dates[len(dates)-1].strftime('%Y/%m/%d') |
---|
1194 | dstr = dstr + " - " + dstr2 |
---|
1195 | majloc = DayLocator() |
---|
1196 | minloc = HourLocator(range(0,23,12)) |
---|
1197 | timefmt = DateFormatter("%b%d") |
---|
1198 | elif tdel > 24./60.: |
---|
1199 | timefmt = DateFormatter('%H:%M') |
---|
1200 | majloc = HourLocator() |
---|
1201 | minloc = MinuteLocator(30) |
---|
1202 | else: |
---|
1203 | timefmt = DateFormatter('%H:%M') |
---|
1204 | majloc = MinuteLocator(interval=5) |
---|
1205 | minloc = SecondLocator(30) |
---|
1206 | |
---|
1207 | PL.title(dstr) |
---|
1208 | if tdel == 0.0: |
---|
1209 | th = (t - PL.floor(t))*24.0 |
---|
1210 | PL.plot(th,el,'o',markersize=2, markerfacecolor='b', markeredgecolor='b') |
---|
1211 | else: |
---|
1212 | PL.plot_date(t,el,'o', markersize=2, markerfacecolor='b', markeredgecolor='b',tz=tz) |
---|
1213 | #ax.grid(True) |
---|
1214 | ax.xaxis.set_major_formatter(timefmt) |
---|
1215 | ax.xaxis.set_major_locator(majloc) |
---|
1216 | ax.xaxis.set_minor_locator(minloc) |
---|
1217 | ax.yaxis.grid(True) |
---|
1218 | yloc = MultipleLocator(30) |
---|
1219 | ax.set_ylim(0,90) |
---|
1220 | ax.yaxis.set_major_locator(yloc) |
---|
1221 | if tdel > 1.0: |
---|
1222 | labels = ax.get_xticklabels() |
---|
1223 | # PL.setp(labels, fontsize=10, rotation=45) |
---|
1224 | PL.setp(labels, fontsize=10) |
---|
1225 | |
---|
1226 | # Az plot |
---|
1227 | az = array(self._data.get_azimuth())*180./pi |
---|
1228 | if min(az) < 0: |
---|
1229 | for irow in range(len(az)): |
---|
1230 | if az[irow] < 0: az[irow] += 360.0 |
---|
1231 | |
---|
1232 | ax2 = PL.subplot(2,1,2) |
---|
1233 | #PL.xlabel('Time (UT [hour])') |
---|
1234 | PL.ylabel('Az [deg.]') |
---|
1235 | if tdel == 0.0: |
---|
1236 | PL.plot(th,az,'o',markersize=2, markeredgecolor='b',markerfacecolor='b') |
---|
1237 | else: |
---|
1238 | PL.plot_date(t,az,'o', markersize=2,markeredgecolor='b',markerfacecolor='b',tz=tz) |
---|
1239 | ax2.xaxis.set_major_formatter(timefmt) |
---|
1240 | ax2.xaxis.set_major_locator(majloc) |
---|
1241 | ax2.xaxis.set_minor_locator(minloc) |
---|
1242 | #ax2.grid(True) |
---|
1243 | ax2.set_ylim(0,360) |
---|
1244 | ax2.yaxis.grid(True) |
---|
1245 | #hfmt = DateFormatter('%H') |
---|
1246 | #hloc = HourLocator() |
---|
1247 | yloc = MultipleLocator(60) |
---|
1248 | ax2.yaxis.set_major_locator(yloc) |
---|
1249 | if tdel > 1.0: |
---|
1250 | labels = ax2.get_xticklabels() |
---|
1251 | PL.setp(labels, fontsize=10) |
---|
1252 | PL.xlabel('Time (UT [day])') |
---|
1253 | else: |
---|
1254 | PL.xlabel('Time (UT [hour])') |
---|
1255 | |
---|
1256 | PL.ion() |
---|
1257 | PL.draw() |
---|
1258 | PL.gcf().show() |
---|
1259 | if (self._outfile is not None): |
---|
1260 | PL.savefig(self._outfile) |
---|
1261 | |
---|
1262 | def plotpointing(self, scan=None, outfile=None): |
---|
1263 | """ |
---|
1264 | plot telescope pointings |
---|
1265 | """ |
---|
1266 | visible = rcParams['plotter.gui'] |
---|
1267 | from matplotlib import pylab as PL |
---|
1268 | from numpy import array, pi |
---|
1269 | if not visible or not self._visible: |
---|
1270 | PL.ioff() |
---|
1271 | from matplotlib.backends.backend_agg import FigureCanvasAgg |
---|
1272 | PL.gcf().canvas.switch_backends(FigureCanvasAgg) |
---|
1273 | self._data = scan |
---|
1274 | self._outfile = outfile |
---|
1275 | dir = array(self._data.get_directionval()).transpose() |
---|
1276 | ra = dir[0]*180./pi |
---|
1277 | dec = dir[1]*180./pi |
---|
1278 | PL.cla() |
---|
1279 | #PL.ioff() |
---|
1280 | PL.clf() |
---|
1281 | # Adjust subplot margins |
---|
1282 | if len(self._margins) != 6: |
---|
1283 | self.set_margin(refresh=False) |
---|
1284 | lef, bot, rig, top, wsp, hsp = self._margins |
---|
1285 | PL.gcf().subplots_adjust(left=lef,bottom=bot,right=rig,top=top, |
---|
1286 | wspace=wsp,hspace=hsp) |
---|
1287 | ax = PL.gca() |
---|
1288 | #ax = PL.axes([0.1,0.1,0.8,0.8]) |
---|
1289 | #ax = PL.axes([0.1,0.1,0.8,0.8]) |
---|
1290 | ax.set_aspect('equal') |
---|
1291 | PL.plot(ra, dec, 'b,') |
---|
1292 | PL.xlabel('RA [deg.]') |
---|
1293 | PL.ylabel('Declination [deg.]') |
---|
1294 | PL.title('Telescope pointings') |
---|
1295 | [xmin,xmax,ymin,ymax] = PL.axis() |
---|
1296 | PL.axis([xmax,xmin,ymin,ymax]) |
---|
1297 | #PL.ion() |
---|
1298 | PL.draw() |
---|
1299 | PL.gcf().show() |
---|
1300 | if (self._outfile is not None): |
---|
1301 | PL.savefig(self._outfile) |
---|
1302 | |
---|
1303 | # plot total power data |
---|
1304 | # plotting in time is not yet implemented.. |
---|
1305 | @asaplog_post_dec |
---|
1306 | def plottp(self, scan=None, outfile=None): |
---|
1307 | if self._plotter.is_dead: |
---|
1308 | if self.casabar_exists(): |
---|
1309 | del self._plotter.figmgr.casabar |
---|
1310 | self._plotter = self._newplotter() |
---|
1311 | self._plotter.figmgr.casabar=self._new_custombar() |
---|
1312 | self._plotter.hold() |
---|
1313 | self._plotter.clear() |
---|
1314 | from asap import scantable |
---|
1315 | if not self._data and not scan: |
---|
1316 | msg = "Input is not a scantable" |
---|
1317 | raise TypeError(msg) |
---|
1318 | if isinstance(scan, scantable): |
---|
1319 | if self._data is not None: |
---|
1320 | if scan != self._data: |
---|
1321 | self._data = scan |
---|
1322 | # reset |
---|
1323 | self._reset() |
---|
1324 | else: |
---|
1325 | self._data = scan |
---|
1326 | self._reset() |
---|
1327 | # ranges become invalid when abcissa changes? |
---|
1328 | #if self._abcunit and self._abcunit != self._data.get_unit(): |
---|
1329 | # self._minmaxx = None |
---|
1330 | # self._minmaxy = None |
---|
1331 | # self._abcunit = self._data.get_unit() |
---|
1332 | # self._datamask = None |
---|
1333 | |
---|
1334 | # Adjust subplot margins |
---|
1335 | if len(self._margins) !=6: self.set_margin(refresh=False) |
---|
1336 | lef, bot, rig, top, wsp, hsp = self._margins |
---|
1337 | self._plotter.figure.subplots_adjust( |
---|
1338 | left=lef,bottom=bot,right=rig,top=top,wspace=wsp,hspace=hsp) |
---|
1339 | if self.casabar_exists(): self._plotter.figmgr.casabar.disable_button() |
---|
1340 | self._plottp(self._data) |
---|
1341 | if self._minmaxy is not None: |
---|
1342 | self._plotter.set_limits(ylim=self._minmaxy) |
---|
1343 | self._plotter.release() |
---|
1344 | self._plotter.tidy() |
---|
1345 | self._plotter.show(hardrefresh=False) |
---|
1346 | return |
---|
1347 | |
---|
1348 | def _plottp(self,scan): |
---|
1349 | """ |
---|
1350 | private method for plotting total power data |
---|
1351 | """ |
---|
1352 | from numpy import ma, array, arange, logical_not |
---|
1353 | r=0 |
---|
1354 | nr = scan.nrow() |
---|
1355 | a0,b0 = -1,-1 |
---|
1356 | allxlim = [] |
---|
1357 | allylim = [] |
---|
1358 | y=[] |
---|
1359 | self._plotter.set_panels() |
---|
1360 | self._plotter.palette(0) |
---|
1361 | #title |
---|
1362 | #xlab = self._abcissa and self._abcissa[panelcount] \ |
---|
1363 | # or scan._getabcissalabel() |
---|
1364 | #ylab = self._ordinate and self._ordinate[panelcount] \ |
---|
1365 | # or scan._get_ordinate_label() |
---|
1366 | xlab = self._abcissa or 'row number' #or Time |
---|
1367 | ylab = self._ordinate or scan._get_ordinate_label() |
---|
1368 | self._plotter.set_axes('xlabel',xlab) |
---|
1369 | self._plotter.set_axes('ylabel',ylab) |
---|
1370 | lbl = self._get_label(scan, r, 's', self._title) |
---|
1371 | if isinstance(lbl, list) or isinstance(lbl, tuple): |
---|
1372 | # if 0 <= panelcount < len(lbl): |
---|
1373 | # lbl = lbl[panelcount] |
---|
1374 | # else: |
---|
1375 | # get default label |
---|
1376 | lbl = self._get_label(scan, r, self._panelling, None) |
---|
1377 | self._plotter.set_axes('title',lbl) |
---|
1378 | y=array(scan._get_column(scan._getspectrum,-1)) |
---|
1379 | m = array(scan._get_column(scan._getmask,-1)) |
---|
1380 | y = ma.masked_array(y,mask=logical_not(array(m,copy=False))) |
---|
1381 | x = arange(len(y)) |
---|
1382 | # try to handle spectral data somewhat... |
---|
1383 | l,m = y.shape |
---|
1384 | if m > 1: |
---|
1385 | y=y.mean(axis=1) |
---|
1386 | plotit = self._plotter.plot |
---|
1387 | llbl = self._get_label(scan, r, self._stacking, None) |
---|
1388 | self._plotter.set_line(label=llbl) |
---|
1389 | if len(x) > 0: |
---|
1390 | plotit(x,y) |
---|
1391 | |
---|
1392 | |
---|
1393 | # forwards to matplotlib.Figure.text |
---|
1394 | def figtext(self, *args, **kwargs): |
---|
1395 | """ |
---|
1396 | Add text to figure at location x,y (relative 0-1 coords). |
---|
1397 | This method forwards *args and **kwargs to a Matplotlib method, |
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1398 | matplotlib.Figure.text. |
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1399 | See the method help for detailed information. |
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1400 | """ |
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1401 | self._plotter.text(*args, **kwargs) |
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1402 | # end matplotlib.Figure.text forwarding function |
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1403 | |
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1404 | |
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1405 | # printing header information |
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1406 | @asaplog_post_dec |
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1407 | def print_header(self, plot=True, fontsize=9, logger=False, selstr='', extrastr=''): |
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1408 | """ |
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1409 | print data (scantable) header on the plot and/or logger. |
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1410 | To plot the header on the plot, this method should be called after |
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1411 | plotting spectra by the method, asapplotter.plot. |
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1412 | Parameters: |
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1413 | plot: whether or not print header info on the plot. |
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1414 | fontsize: header font size (valid only plot=True) |
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1415 | logger: whether or not print header info on the logger. |
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1416 | selstr: additional selection string (not verified) |
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1417 | extrastr: additional string to print at the beginning (not verified) |
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1418 | """ |
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1419 | if not plot and not logger: |
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1420 | return |
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1421 | if not self._data: |
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1422 | raise RuntimeError("No scantable has been set yet.") |
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1423 | # Now header will be printed on plot and/or logger. |
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1424 | # Get header information and format it. |
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1425 | ssum=self._data._list_header() |
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1426 | # Print Observation header to the upper-left corner of plot |
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1427 | headstr=[ssum[0:ssum.find('Obs. Type:')]] |
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1428 | headstr.append(ssum[ssum.find('Obs. Type:'):ssum.find('Flux Unit:')]) |
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1429 | if extrastr != '': |
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1430 | headstr[0]=extrastr+'\n'+headstr[0] |
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1431 | self._headtext['extrastr'] = extrastr |
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1432 | if selstr != '': |
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1433 | selstr += '\n' |
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1434 | self._headtext['selstr'] = selstr |
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1435 | ssel=(selstr+self._data.get_selection().__str__()+self._selection.__str__() or 'none') |
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1436 | headstr.append('***Selections***\n'+ssel) |
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1437 | |
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1438 | if plot: |
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1439 | self._plotter.hold() |
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1440 | self._header_plot(headstr,fontsize=fontsize) |
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1441 | import time |
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1442 | self._plotter.figure.text(0.99,0.01, |
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1443 | time.strftime("%a %d %b %Y %H:%M:%S %Z"), |
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1444 | horizontalalignment='right', |
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1445 | verticalalignment='bottom',fontsize=8) |
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1446 | self._plotter.release() |
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1447 | if logger: |
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1448 | selstr = "Selections: "+ssel |
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1449 | asaplog.push("----------------\n Plot Summary\n----------------") |
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1450 | asaplog.push(extrastr) |
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1451 | asaplog.push(ssum[0:ssum.find('Selection:')]\ |
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1452 | + selstr) |
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1453 | self._headtext['string'] = headstr |
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1454 | del ssel, ssum, headstr |
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1455 | |
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1456 | def _header_plot(self, texts, fontsize=9): |
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1457 | self._headtext['textobj']=[] |
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1458 | nstcol=len(texts) |
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1459 | for i in range(nstcol): |
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1460 | self._headtext['textobj'].append( |
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1461 | self._plotter.figure.text(0.03+float(i)/nstcol,0.98, |
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1462 | texts[i], |
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1463 | horizontalalignment='left', |
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1464 | verticalalignment='top', |
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1465 | fontsize=fontsize)) |
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1466 | |
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1467 | def clear_header(self): |
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1468 | if not self._headtext['textobj']: |
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1469 | asaplog.push("No header has been plotted. Exit without any operation") |
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1470 | asaplog.post("WARN") |
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1471 | else: |
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1472 | self._plotter.hold() |
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1473 | for textobj in self._headtext['textobj']: |
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1474 | #if textobj.get_text() in self._headstring: |
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1475 | try: |
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1476 | textobj.remove() |
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1477 | except NotImplementedError: |
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1478 | self._plotter.figure.texts.pop(self._plotter.figure.texts.index(textobj)) |
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1479 | self._plotter.release() |
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1480 | self._reset_header() |
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