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 | from matplotlib import _pylab_helpers |
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9 | |
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10 | import re |
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11 | |
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12 | def new_asaplot(visible=None,**kwargs): |
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13 | """ |
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14 | Returns a new asaplot instance based on the backend settings. |
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15 | """ |
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16 | if visible == None: |
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17 | visible = rcParams['plotter.gui'] |
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18 | |
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19 | backend=matplotlib.get_backend() |
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20 | if not visible: |
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21 | from asap.asaplot import asaplot |
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22 | elif backend == 'TkAgg': |
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23 | from asap.asaplotgui import asaplotgui as asaplot |
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24 | elif backend == 'Qt4Agg': |
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25 | from asap.asaplotgui_qt4 import asaplotgui as asaplot |
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26 | elif backend == 'GTkAgg': |
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27 | from asap.asaplotgui_gtk import asaplotgui as asaplot |
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28 | else: |
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29 | from asap.asaplot import asaplot |
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30 | return asaplot(**kwargs) |
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31 | |
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32 | class asapplotter: |
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33 | """ |
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34 | The ASAP plotter. |
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35 | By default the plotter is set up to plot polarisations |
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36 | 'colour stacked' and scantables across panels. |
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37 | |
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38 | .. note:: |
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39 | |
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40 | Currenly it only plots 'spectra' not Tsys or |
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41 | other variables. |
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42 | |
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43 | """ |
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44 | def __init__(self, visible=None , **kwargs): |
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45 | self._visible = rcParams['plotter.gui'] |
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46 | if visible is not None: |
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47 | self._visible = visible |
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48 | self._plotter = None |
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49 | self._inikwg = kwargs |
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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._minmaxx = None |
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58 | self._minmaxy = None |
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59 | self._datamask = None |
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60 | self._data = None |
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61 | self._lmap = None |
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62 | self._title = None |
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63 | self._ordinate = None |
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64 | self._abcissa = None |
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65 | self._abcunit = None |
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66 | self._usermask = [] |
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67 | self._maskselection = None |
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68 | self._selection = selector() |
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69 | self._hist = rcParams['plotter.histogram'] |
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70 | self._fp = FontProperties() |
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71 | self._margins = self.set_margin(refresh=False) |
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72 | self._offset = None |
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73 | self._startrow = 0 |
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74 | self._ipanel = -1 |
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75 | self._panelrows = [] |
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76 | self._headtext={'string': None, 'textobj': None} |
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77 | self._colormap = None |
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78 | self._linestyles = None |
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79 | self._legendloc = None |
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80 | |
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81 | def _translate(self, instr): |
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82 | keys = "s b i p t r".split() |
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83 | if isinstance(instr, str): |
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84 | for key in keys: |
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85 | if instr.lower().startswith(key): |
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86 | return key |
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87 | return None |
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88 | |
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89 | @asaplog_post_dec |
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90 | def _reload_plotter(self): |
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91 | if self._plotter is not None: |
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92 | #if not self._plotter.is_dead: |
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93 | # # clear lines and axes |
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94 | # try: |
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95 | # self._plotter.clear() |
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96 | # except: # Can't remove when already killed. |
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97 | # pass |
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98 | if self.casabar_exists(): |
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99 | del self._plotter.figmgr.casabar |
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100 | self._plotter.quit() |
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101 | del self._plotter |
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102 | asaplog.push('Loading new plotter') |
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103 | self._plotter = new_asaplot(self._visible,**self._inikwg) |
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104 | self._plotter.figmgr.casabar=self._new_custombar() |
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105 | # just to make sure they're set |
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106 | self._plotter.palette(color=0,colormap=self._colormap, |
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107 | linestyle=0,linestyles=self._linestyles) |
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108 | self._plotter.legend(self._legendloc) |
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109 | |
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110 | def _new_custombar(self): |
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111 | backend=matplotlib.get_backend() |
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112 | if not self._visible: |
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113 | return None |
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114 | elif backend == "TkAgg": |
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115 | from asap.customgui_tkagg import CustomToolbarTkAgg |
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116 | return CustomToolbarTkAgg(self) |
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117 | elif backend == "Qt4Agg": |
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118 | from asap.customgui_qt4agg import CustomToolbarQT4Agg |
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119 | return CustomToolbarQT4Agg(self) |
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120 | return None |
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121 | |
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122 | def casabar_exists(self): |
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123 | if not hasattr(self._plotter.figmgr,'casabar'): |
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124 | return False |
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125 | elif self._plotter.figmgr.casabar: |
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126 | return True |
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127 | return False |
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128 | |
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129 | def _assert_plotter(self,action="status",errmsg=None): |
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130 | """ |
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131 | Check plot window status. Returns True if plot window is alive. |
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132 | Parameters |
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133 | action: An action to take if the plotter window is not alive. |
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134 | ['status'|'reload'|'halt'] |
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135 | The action 'status' simply returns False if asaplot |
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136 | is not alive. When action='reload', plot window is |
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137 | reloaded and the method returns True. Finally, an |
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138 | error is raised when action='halt'. |
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139 | errmsg: An error (warning) message to send to the logger, |
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140 | when plot window is not alive. |
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141 | """ |
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142 | isAlive = (self._plotter is not None) and self._plotter._alive() |
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143 | # More tests |
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144 | #if isAlive: |
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145 | # if self._plotter.figmgr: |
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146 | # figmgr = self._plotter.figmgr |
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147 | # figid = figmgr.num |
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148 | # # Make sure figid=0 is what asapplotter expects. |
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149 | # # It might be already destroied/overridden by matplotlib |
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150 | # # commands or other plotting methods using asaplot. |
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151 | # isAlive = _pylab_helpers.Gcf.has_fignum(figid) and \ |
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152 | # (figmgr == \ |
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153 | # _pylab_helpers.Gcf.get_fig_manager(figid)) |
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154 | # else: |
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155 | # isAlive = False |
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156 | |
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157 | if isAlive: |
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158 | return True |
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159 | # Plotter is not alive. |
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160 | haltmsg = "Plotter window has not yet been loaded or is closed." |
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161 | if type(errmsg)==str and len(errmsg) > 0: |
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162 | haltmsg = errmsg |
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163 | |
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164 | if action.upper().startswith("R"): |
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165 | # reload plotter |
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166 | self._reload_plotter() |
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167 | return True |
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168 | elif action.upper().startswith("H"): |
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169 | # halt |
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170 | asaplog.push(haltmsg) |
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171 | asaplog.post("ERROR") |
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172 | raise RuntimeError(haltmsg) |
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173 | else: |
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174 | if errmsg: |
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175 | asaplog.push(errmsg) |
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176 | asaplog.post("WARN") |
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177 | return False |
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178 | |
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179 | |
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180 | @asaplog_post_dec |
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181 | def plot(self, scan=None): |
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182 | """ |
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183 | Plot a scantable. |
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184 | Parameters: |
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185 | scan: a scantable |
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186 | Note: |
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187 | If a scantable was specified in a previous call |
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188 | to plot, no argument has to be given to 'replot' |
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189 | NO checking is done that the abcissas of the scantable |
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190 | are consistent e.g. all 'channel' or all 'velocity' etc. |
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191 | """ |
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192 | if not self._data and not scan: |
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193 | msg = "Input is not a scantable" |
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194 | raise TypeError(msg) |
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195 | self._startrow = 0 |
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196 | self._ipanel = -1 |
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197 | self._reset_header() |
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198 | self._panelrows = [] |
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199 | |
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200 | self._assert_plotter(action="reload") |
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201 | if self.casabar_exists(): |
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202 | self._plotter.figmgr.casabar.set_pagecounter(1) |
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203 | |
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204 | self._plotter.hold() |
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205 | #self._plotter.clear() |
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206 | if scan: |
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207 | self.set_data(scan, refresh=False) |
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208 | self._plotter.palette(color=0,colormap=self._colormap, |
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209 | linestyle=0,linestyles=self._linestyles) |
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210 | self._plotter.legend(self._legendloc) |
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211 | self._plot(self._data) |
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212 | if self._minmaxy is not None: |
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213 | self._plotter.set_limits(ylim=self._minmaxy) |
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214 | if self.casabar_exists(): self._plotter.figmgr.casabar.enable_button() |
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215 | self._plotter.release() |
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216 | self._plotter.tidy() |
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217 | self._plotter.show(hardrefresh=False) |
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218 | return |
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219 | |
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220 | def gca(self): |
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221 | errmsg = "No axis to retun. Need to plot first." |
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222 | if not self._assert_plotter(action="status",errmsg=errmsg): |
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223 | return None |
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224 | return self._plotter.figure.gca() |
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225 | |
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226 | def refresh(self): |
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227 | """Do a soft refresh""" |
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228 | errmsg = "No figure to re-plot. Need to plot first." |
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229 | self._assert_plotter(action="halt",errmsg=errmsg) |
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230 | |
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231 | self._plotter.figure.show() |
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232 | |
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233 | def create_mask(self, nwin=1, panel=0, color=None): |
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234 | """ |
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235 | Interactively define a mask. It retruns a mask that is equivalent to |
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236 | the one created manually with scantable.create_mask. |
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237 | Parameters: |
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238 | nwin: The number of mask windows to create interactively |
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239 | default is 1. |
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240 | panel: Which panel to use for mask selection. This is useful |
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241 | if different IFs are spread over panels (default 0) |
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242 | """ |
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243 | ## this method relies on already plotted figure |
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244 | if not self._assert_plotter(action="status") or (self._data is None): |
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245 | msg = "Cannot create mask interactively on plot. Can only create mask after plotting." |
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246 | asaplog.push( msg ) |
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247 | asaplog.post( "ERROR" ) |
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248 | return [] |
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249 | outmask = [] |
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250 | self._plotter.subplot(panel) |
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251 | xmin, xmax = self._plotter.axes.get_xlim() |
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252 | marg = 0.05*(xmax-xmin) |
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253 | self._plotter.axes.set_xlim(xmin-marg, xmax+marg) |
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254 | self.refresh() |
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255 | |
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256 | def cleanup(lines=False, texts=False, refresh=False): |
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257 | if lines: |
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258 | del self._plotter.axes.lines[-1] |
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259 | if texts: |
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260 | del self._plotter.axes.texts[-1] |
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261 | if refresh: |
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262 | self.refresh() |
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263 | |
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264 | for w in xrange(nwin): |
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265 | wpos = [] |
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266 | self.text(0.05,1.0, "Add start boundary", |
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267 | coords="relative", fontsize=10) |
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268 | point = self._plotter.get_point() |
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269 | cleanup(texts=True) |
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270 | if point is None: |
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271 | continue |
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272 | wpos.append(point[0]) |
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273 | self.axvline(wpos[0], color=color) |
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274 | self.text(0.05,1.0, "Add end boundary", coords="relative", fontsize=10) |
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275 | point = self._plotter.get_point() |
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276 | cleanup(texts=True, lines=True) |
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277 | if point is None: |
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278 | self.refresh() |
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279 | continue |
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280 | wpos.append(point[0]) |
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281 | self.axvspan(wpos[0], wpos[1], alpha=0.1, |
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282 | edgecolor=color, facecolor=color) |
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283 | ymin, ymax = self._plotter.axes.get_ylim() |
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284 | outmask.append(wpos) |
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285 | |
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286 | self._plotter.axes.set_xlim(xmin, xmax) |
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287 | self.refresh() |
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288 | if len(outmask) > 0: |
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289 | return self._data.create_mask(*outmask) |
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290 | return [] |
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291 | |
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292 | # forwards to matplotlib axes |
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293 | def text(self, *args, **kwargs): |
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294 | self._assert_plotter(action="reload") |
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295 | if kwargs.has_key("interactive"): |
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296 | if kwargs.pop("interactive"): |
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297 | pos = self._plotter.get_point() |
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298 | args = tuple(pos)+args |
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299 | self._axes_callback("text", *args, **kwargs) |
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300 | |
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301 | text.__doc__ = matplotlib.axes.Axes.text.__doc__ |
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302 | |
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303 | def arrow(self, *args, **kwargs): |
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304 | self._assert_plotter(action="reload") |
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305 | if kwargs.has_key("interactive"): |
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306 | if kwargs.pop("interactive"): |
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307 | pos = self._plotter.get_region() |
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308 | dpos = (pos[0][0], pos[0][1], |
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309 | pos[1][0]-pos[0][0], |
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310 | pos[1][1] - pos[0][1]) |
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311 | args = dpos + args |
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312 | self._axes_callback("arrow", *args, **kwargs) |
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313 | |
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314 | arrow.__doc__ = matplotlib.axes.Axes.arrow.__doc__ |
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315 | |
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316 | def annotate(self, text, xy=None, xytext=None, **kwargs): |
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317 | self._assert_plotter(action="reload") |
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318 | if kwargs.has_key("interactive"): |
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319 | if kwargs.pop("interactive"): |
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320 | xy = self._plotter.get_point() |
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321 | xytext = self._plotter.get_point() |
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322 | if not kwargs.has_key("arrowprops"): |
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323 | kwargs["arrowprops"] = dict(arrowstyle="->") |
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324 | self._axes_callback("annotate", text, xy, xytext, **kwargs) |
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325 | |
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326 | annotate.__doc__ = matplotlib.axes.Axes.annotate.__doc__ |
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327 | |
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328 | def axvline(self, *args, **kwargs): |
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329 | self._assert_plotter(action="reload") |
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330 | if kwargs.has_key("interactive"): |
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331 | if kwargs.pop("interactive"): |
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332 | pos = self._plotter.get_point() |
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333 | args = (pos[0],)+args |
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334 | self._axes_callback("axvline", *args, **kwargs) |
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335 | |
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336 | axvline.__doc__ = matplotlib.axes.Axes.axvline.__doc__ |
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337 | |
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338 | def axhline(self, *args, **kwargs): |
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339 | self._assert_plotter(action="reload") |
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340 | if kwargs.has_key("interactive"): |
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341 | if kwargs.pop("interactive"): |
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342 | pos = self._plotter.get_point() |
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343 | args = (pos[1],)+args |
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344 | self._axes_callback("axhline", *args, **kwargs) |
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345 | |
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346 | axhline.__doc__ = matplotlib.axes.Axes.axhline.__doc__ |
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347 | |
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348 | def axvspan(self, *args, **kwargs): |
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349 | self._assert_plotter(action="reload") |
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350 | if kwargs.has_key("interactive"): |
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351 | if kwargs.pop("interactive"): |
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352 | pos = self._plotter.get_region() |
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353 | dpos = (pos[0][0], pos[1][0]) |
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354 | args = dpos + args |
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355 | self._axes_callback("axvspan", *args, **kwargs) |
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356 | # hack to preventy mpl from redrawing the patch |
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357 | # it seem to convert the patch into lines on every draw. |
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358 | # This doesn't happen in a test script??? |
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359 | #del self._plotter.axes.patches[-1] |
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360 | |
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361 | axvspan.__doc__ = matplotlib.axes.Axes.axvspan.__doc__ |
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362 | |
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363 | def axhspan(self, *args, **kwargs): |
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364 | self._assert_plotter(action="reload") |
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365 | if kwargs.has_key("interactive"): |
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366 | if kwargs.pop("interactive"): |
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367 | pos = self._plotter.get_region() |
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368 | dpos = (pos[0][1], pos[1][1]) |
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369 | args = dpos + args |
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370 | self._axes_callback("axhspan", *args, **kwargs) |
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371 | # hack to preventy mpl from redrawing the patch |
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372 | # it seem to convert the patch into lines on every draw. |
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373 | # This doesn't happen in a test script??? |
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374 | #del self._plotter.axes.patches[-1] |
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375 | |
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376 | axhspan.__doc__ = matplotlib.axes.Axes.axhspan.__doc__ |
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377 | |
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378 | def _axes_callback(self, axesfunc, *args, **kwargs): |
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379 | self._assert_plotter(action="reload") |
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380 | panel = 0 |
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381 | if kwargs.has_key("panel"): |
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382 | panel = kwargs.pop("panel") |
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383 | coords = None |
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384 | if kwargs.has_key("coords"): |
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385 | coords = kwargs.pop("coords") |
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386 | if coords.lower() == 'world': |
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387 | kwargs["transform"] = self._plotter.axes.transData |
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388 | elif coords.lower() == 'relative': |
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389 | kwargs["transform"] = self._plotter.axes.transAxes |
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390 | self._plotter.subplot(panel) |
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391 | self._plotter.axes.set_autoscale_on(False) |
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392 | getattr(self._plotter.axes, axesfunc)(*args, **kwargs) |
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393 | self._plotter.show(False) |
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394 | self._plotter.axes.set_autoscale_on(True) |
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395 | # end matplotlib.axes fowarding functions |
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396 | |
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397 | @asaplog_post_dec |
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398 | def set_data(self, scan, refresh=True): |
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399 | """ |
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400 | Set a scantable to plot. |
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401 | Parameters: |
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402 | scan: a scantable |
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403 | refresh: True (default) or False. If True, the plot is |
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404 | replotted based on the new parameter setting(s). |
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405 | Otherwise,the parameter(s) are set without replotting. |
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406 | Note: |
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407 | The user specified masks and data selections will be reset |
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408 | if a new scantable is set. This method should be called before |
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409 | setting data selections (set_selection) and/or masks (set_mask). |
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410 | """ |
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411 | from asap import scantable |
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412 | if isinstance(scan, scantable): |
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413 | if (self._data is not None) and (scan != self._data): |
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414 | del self._data |
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415 | msg = "A new scantable is set to the plotter. "\ |
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416 | "The masks and data selections are reset." |
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417 | asaplog.push( msg ) |
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418 | self._data = scan |
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419 | # reset |
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420 | self._reset() |
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421 | else: |
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422 | msg = "Input is not a scantable" |
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423 | raise TypeError(msg) |
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424 | |
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425 | # ranges become invalid when unit changes |
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426 | if self._abcunit and self._abcunit != self._data.get_unit(): |
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427 | self._minmaxx = None |
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428 | self._minmaxy = None |
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429 | self._abcunit = self._data.get_unit() |
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430 | self._datamask = None |
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431 | if refresh: self.plot() |
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432 | |
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433 | @asaplog_post_dec |
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434 | def set_mode(self, stacking=None, panelling=None, refresh=True): |
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435 | """ |
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436 | Set the plots look and feel, i.e. what you want to see on the plot. |
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437 | Parameters: |
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438 | stacking: tell the plotter which variable to plot |
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439 | as line colour overlays (default 'pol') |
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440 | panelling: tell the plotter which variable to plot |
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441 | across multiple panels (default 'scan' |
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442 | refresh: True (default) or False. If True, the plot is |
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443 | replotted based on the new parameter setting(s). |
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444 | Otherwise,the parameter(s) are set without replotting. |
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445 | Note: |
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446 | Valid modes are: |
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447 | 'beam' 'Beam' 'b': Beams |
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448 | 'if' 'IF' 'i': IFs |
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449 | 'pol' 'Pol' 'p': Polarisations |
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450 | 'scan' 'Scan' 's': Scans |
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451 | 'time' 'Time' 't': Times |
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452 | 'row' 'Row' 'r': Rows |
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453 | When either 'stacking' or 'panelling' is set to 'row', |
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454 | the other parameter setting is ignored. |
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455 | """ |
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456 | msg = "Invalid mode" |
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457 | if not self.set_panelling(panelling) or \ |
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458 | not self.set_stacking(stacking): |
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459 | raise TypeError(msg) |
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460 | #if self._panelling == 'r': |
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461 | # self._stacking = '_r' |
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462 | #if self._stacking == 'r': |
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463 | # self._panelling = '_r' |
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464 | if refresh and self._data: self.plot(self._data) |
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465 | return |
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466 | |
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467 | def set_panelling(self, what=None): |
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468 | """Set the 'panelling' mode i.e. which type of spectra should be |
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469 | spread across different panels. |
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470 | """ |
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471 | |
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472 | mode = what |
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473 | if mode is None: |
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474 | mode = rcParams['plotter.panelling'] |
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475 | md = self._translate(mode) |
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476 | if md: |
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477 | self._panelling = md |
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478 | self._title = None |
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479 | #if md == 'r': |
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480 | # self._stacking = '_r' |
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481 | # you need to reset counters for multi page plotting |
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482 | self._reset_counters() |
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483 | return True |
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484 | return False |
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485 | |
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486 | def set_layout(self,rows=None,cols=None,refresh=True): |
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487 | """ |
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488 | Set the multi-panel layout, i.e. how many rows and columns plots |
---|
489 | are visible. |
---|
490 | Parameters: |
---|
491 | rows: The number of rows of plots |
---|
492 | cols: The number of columns of plots |
---|
493 | refresh: True (default) or False. If True, the plot is |
---|
494 | replotted based on the new parameter setting(s). |
---|
495 | Otherwise,the parameter(s) are set without replotting. |
---|
496 | Note: |
---|
497 | If no argument is given, the potter reverts to its auto-plot |
---|
498 | behaviour. |
---|
499 | """ |
---|
500 | self._rows = rows |
---|
501 | self._cols = cols |
---|
502 | if refresh and self._data: self.plot(self._data) |
---|
503 | return |
---|
504 | |
---|
505 | def set_stacking(self, what=None): |
---|
506 | """Set the 'stacking' mode i.e. which type of spectra should be |
---|
507 | overlayed. |
---|
508 | """ |
---|
509 | mode = what |
---|
510 | if mode is None: |
---|
511 | mode = rcParams['plotter.stacking'] |
---|
512 | md = self._translate(mode) |
---|
513 | if md: |
---|
514 | self._stacking = md |
---|
515 | self._lmap = None |
---|
516 | #if md == 'r': |
---|
517 | # self._panelling = '_r' |
---|
518 | # you need to reset counters for multi page plotting |
---|
519 | self._reset_counters() |
---|
520 | return True |
---|
521 | return False |
---|
522 | |
---|
523 | def _reset_counters(self): |
---|
524 | self._startrow = 0 |
---|
525 | self._ipanel = -1 |
---|
526 | self._panelrows = [] |
---|
527 | |
---|
528 | def set_range(self,xstart=None,xend=None,ystart=None,yend=None,refresh=True, offset=None): |
---|
529 | """ |
---|
530 | Set the range of interest on the abcissa of the plot |
---|
531 | Parameters: |
---|
532 | [x,y]start,[x,y]end: The start and end points of the 'zoom' window |
---|
533 | refresh: True (default) or False. If True, the plot is |
---|
534 | replotted based on the new parameter setting(s). |
---|
535 | Otherwise,the parameter(s) are set without replotting. |
---|
536 | offset: shift the abcissa by the given amount. The abcissa label will |
---|
537 | have '(relative)' appended to it. |
---|
538 | Note: |
---|
539 | These become non-sensical when the unit changes. |
---|
540 | use plotter.set_range() without parameters to reset |
---|
541 | |
---|
542 | """ |
---|
543 | self._offset = offset |
---|
544 | if xstart is None and xend is None: |
---|
545 | self._minmaxx = None |
---|
546 | else: |
---|
547 | self._minmaxx = [xstart,xend] |
---|
548 | if ystart is None and yend is None: |
---|
549 | self._minmaxy = None |
---|
550 | else: |
---|
551 | self._minmaxy = [ystart,yend] |
---|
552 | if refresh and self._data: self.plot(self._data) |
---|
553 | return |
---|
554 | |
---|
555 | def set_legend(self, mp=None, fontsize = None, mode = 0, refresh=True): |
---|
556 | """ |
---|
557 | Specify a mapping for the legend instead of using the default |
---|
558 | indices: |
---|
559 | Parameters: |
---|
560 | mp: a list of 'strings'. This should have the same length |
---|
561 | as the number of elements on the legend and then maps |
---|
562 | to the indeces in order. It is possible to uses latex |
---|
563 | math expression. These have to be enclosed in r'', |
---|
564 | e.g. r'$x^{2}$' |
---|
565 | fontsize: The font size of the label (default None) |
---|
566 | mode: where to display the legend |
---|
567 | Any other value for loc else disables the legend: |
---|
568 | 0: auto |
---|
569 | 1: upper right |
---|
570 | 2: upper left |
---|
571 | 3: lower left |
---|
572 | 4: lower right |
---|
573 | 5: right |
---|
574 | 6: center left |
---|
575 | 7: center right |
---|
576 | 8: lower center |
---|
577 | 9: upper center |
---|
578 | 10: center |
---|
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 | Example: |
---|
584 | If the data has two IFs/rest frequencies with index 0 and 1 |
---|
585 | for CO and SiO: |
---|
586 | plotter.set_stacking('i') |
---|
587 | plotter.set_legend(['CO','SiO']) |
---|
588 | plotter.plot() |
---|
589 | plotter.set_legend([r'$^{12}CO$', r'SiO']) |
---|
590 | """ |
---|
591 | self._lmap = mp |
---|
592 | #self._plotter.legend(mode) |
---|
593 | self._legendloc = mode |
---|
594 | if isinstance(fontsize, int): |
---|
595 | from matplotlib import rc as rcp |
---|
596 | rcp('legend', fontsize=fontsize) |
---|
597 | if refresh and self._data: self.plot(self._data) |
---|
598 | return |
---|
599 | |
---|
600 | def set_title(self, title=None, fontsize=None, refresh=True): |
---|
601 | """ |
---|
602 | Set the title of sub-plots. If multiple sub-plots are plotted, |
---|
603 | multiple titles have to be specified. |
---|
604 | Parameters: |
---|
605 | title: a list of titles of sub-plots. |
---|
606 | fontsize: a font size of titles (integer) |
---|
607 | refresh: True (default) or False. If True, the plot is |
---|
608 | replotted based on the new parameter setting(s). |
---|
609 | Otherwise,the parameter(s) are set without replotting. |
---|
610 | Example: |
---|
611 | # two panels are visible on the plotter |
---|
612 | plotter.set_title(['First Panel','Second Panel']) |
---|
613 | """ |
---|
614 | self._title = title |
---|
615 | if isinstance(fontsize, int): |
---|
616 | from matplotlib import rc as rcp |
---|
617 | rcp('axes', titlesize=fontsize) |
---|
618 | if refresh and self._data: self.plot(self._data) |
---|
619 | return |
---|
620 | |
---|
621 | def set_ordinate(self, ordinate=None, fontsize=None, refresh=True): |
---|
622 | """ |
---|
623 | Set the y-axis label of the plot. If multiple panels are plotted, |
---|
624 | multiple labels have to be specified. |
---|
625 | Parameters: |
---|
626 | ordinate: a list of ordinate labels. None (default) let |
---|
627 | data determine the labels |
---|
628 | fontsize: a font size of vertical axis labels (integer) |
---|
629 | refresh: True (default) or False. If True, the plot is |
---|
630 | replotted based on the new parameter setting(s). |
---|
631 | Otherwise,the parameter(s) are set without replotting. |
---|
632 | Example: |
---|
633 | # two panels are visible on the plotter |
---|
634 | plotter.set_ordinate(['First Y-Axis','Second Y-Axis']) |
---|
635 | """ |
---|
636 | self._ordinate = ordinate |
---|
637 | if isinstance(fontsize, int): |
---|
638 | from matplotlib import rc as rcp |
---|
639 | rcp('axes', labelsize=fontsize) |
---|
640 | rcp('ytick', labelsize=fontsize) |
---|
641 | if refresh and self._data: self.plot(self._data) |
---|
642 | return |
---|
643 | |
---|
644 | def set_abcissa(self, abcissa=None, fontsize=None, refresh=True): |
---|
645 | """ |
---|
646 | Set the x-axis label of the plot. If multiple panels are plotted, |
---|
647 | multiple labels have to be specified. |
---|
648 | Parameters: |
---|
649 | abcissa: a list of abcissa labels. None (default) let |
---|
650 | data determine the labels |
---|
651 | fontsize: a font size of horizontal axis labels (integer) |
---|
652 | refresh: True (default) or False. If True, the plot is |
---|
653 | replotted based on the new parameter setting(s). |
---|
654 | Otherwise,the parameter(s) are set without replotting. |
---|
655 | Example: |
---|
656 | # two panels are visible on the plotter |
---|
657 | plotter.set_ordinate(['First X-Axis','Second X-Axis']) |
---|
658 | """ |
---|
659 | self._abcissa = abcissa |
---|
660 | if isinstance(fontsize, int): |
---|
661 | from matplotlib import rc as rcp |
---|
662 | rcp('axes', labelsize=fontsize) |
---|
663 | rcp('xtick', labelsize=fontsize) |
---|
664 | if refresh and self._data: self.plot(self._data) |
---|
665 | return |
---|
666 | |
---|
667 | def set_colors(self, colmap, refresh=True): |
---|
668 | """ |
---|
669 | Set the colours to be used. The plotter will cycle through |
---|
670 | these colours when lines are overlaid (stacking mode). |
---|
671 | Parameters: |
---|
672 | colmap: a list of colour names |
---|
673 | refresh: True (default) or False. If True, the plot is |
---|
674 | replotted based on the new parameter setting(s). |
---|
675 | Otherwise,the parameter(s) are set without replotting. |
---|
676 | Example: |
---|
677 | plotter.set_colors('red green blue') |
---|
678 | # If for example four lines are overlaid e.g I Q U V |
---|
679 | # 'I' will be 'red', 'Q' will be 'green', U will be 'blue' |
---|
680 | # and 'V' will be 'red' again. |
---|
681 | """ |
---|
682 | #if isinstance(colmap,str): |
---|
683 | # colmap = colmap.split() |
---|
684 | #self._plotter.palette(0, colormap=colmap) |
---|
685 | self._colormap = colmap |
---|
686 | if refresh and self._data: self.plot(self._data) |
---|
687 | |
---|
688 | # alias for english speakers |
---|
689 | set_colours = set_colors |
---|
690 | |
---|
691 | def set_histogram(self, hist=True, linewidth=None, refresh=True): |
---|
692 | """ |
---|
693 | Enable/Disable histogram-like plotting. |
---|
694 | Parameters: |
---|
695 | hist: True (default) or False. The fisrt default |
---|
696 | is taken from the .asaprc setting |
---|
697 | plotter.histogram |
---|
698 | linewidth: a line width |
---|
699 | refresh: True (default) or False. If True, the plot is |
---|
700 | replotted based on the new parameter setting(s). |
---|
701 | Otherwise,the parameter(s) are set without replotting. |
---|
702 | """ |
---|
703 | self._hist = hist |
---|
704 | if isinstance(linewidth, float) or isinstance(linewidth, int): |
---|
705 | from matplotlib import rc as rcp |
---|
706 | rcp('lines', linewidth=linewidth) |
---|
707 | if refresh and self._data: self.plot(self._data) |
---|
708 | |
---|
709 | def set_linestyles(self, linestyles=None, linewidth=None, refresh=True): |
---|
710 | """ |
---|
711 | Set the linestyles to be used. The plotter will cycle through |
---|
712 | these linestyles when lines are overlaid (stacking mode) AND |
---|
713 | only one color has been set. |
---|
714 | Parameters: |
---|
715 | linestyles: a list of linestyles to use. |
---|
716 | 'line', 'dashed', 'dotted', 'dashdot', |
---|
717 | 'dashdotdot' and 'dashdashdot' are |
---|
718 | possible |
---|
719 | linewidth: a line width |
---|
720 | refresh: True (default) or False. If True, the plot is |
---|
721 | replotted based on the new parameter setting(s). |
---|
722 | Otherwise,the parameter(s) are set without replotting. |
---|
723 | Example: |
---|
724 | plotter.set_colors('black') |
---|
725 | plotter.set_linestyles('line dashed dotted dashdot') |
---|
726 | # If for example four lines are overlaid e.g I Q U V |
---|
727 | # 'I' will be 'solid', 'Q' will be 'dashed', |
---|
728 | # U will be 'dotted' and 'V' will be 'dashdot'. |
---|
729 | """ |
---|
730 | #if isinstance(linestyles,str): |
---|
731 | # linestyles = linestyles.split() |
---|
732 | #self._plotter.palette(color=0,linestyle=0,linestyles=linestyles) |
---|
733 | self._linestyles = linestyles |
---|
734 | if isinstance(linewidth, float) or isinstance(linewidth, int): |
---|
735 | from matplotlib import rc as rcp |
---|
736 | rcp('lines', linewidth=linewidth) |
---|
737 | if refresh and self._data: self.plot(self._data) |
---|
738 | |
---|
739 | def set_font(self, refresh=True,**kwargs): |
---|
740 | """ |
---|
741 | Set font properties. |
---|
742 | Parameters: |
---|
743 | family: one of 'sans-serif', 'serif', 'cursive', 'fantasy', 'monospace' |
---|
744 | style: one of 'normal' (or 'roman'), 'italic' or 'oblique' |
---|
745 | weight: one of 'normal or 'bold' |
---|
746 | size: the 'general' font size, individual elements can be adjusted |
---|
747 | seperately |
---|
748 | refresh: True (default) or False. If True, the plot is |
---|
749 | replotted based on the new parameter setting(s). |
---|
750 | Otherwise,the parameter(s) are set without replotting. |
---|
751 | """ |
---|
752 | from matplotlib import rc as rcp |
---|
753 | fdict = {} |
---|
754 | for k,v in kwargs.iteritems(): |
---|
755 | if v: |
---|
756 | fdict[k] = v |
---|
757 | self._fp = FontProperties(**fdict) |
---|
758 | if refresh and self._data: self.plot(self._data) |
---|
759 | |
---|
760 | def set_margin(self,margin=[],refresh=True): |
---|
761 | """ |
---|
762 | Set margins between subplots and plot edges. |
---|
763 | Parameters: |
---|
764 | margin: a list of margins in figure coordinate (0-1), |
---|
765 | i.e., fraction of the figure width or height. |
---|
766 | The order of elements should be: |
---|
767 | [left, bottom, right, top, horizontal space btw panels, |
---|
768 | vertical space btw panels]. |
---|
769 | refresh: True (default) or False. If True, the plot is |
---|
770 | replotted based on the new parameter setting(s). |
---|
771 | Otherwise,the parameter(s) are set without replotting. |
---|
772 | Note |
---|
773 | * When margin is not specified, the values are reset to the defaults |
---|
774 | of matplotlib. |
---|
775 | * If any element is set to be None, the current value is adopted. |
---|
776 | """ |
---|
777 | if margin == []: self._margins=self._reset_margin() |
---|
778 | else: |
---|
779 | self._margins=[None]*6 |
---|
780 | self._margins[0:len(margin)]=margin |
---|
781 | #print "panel margin set to ",self._margins |
---|
782 | if refresh and self._data: self.plot(self._data) |
---|
783 | |
---|
784 | def _reset_margin(self): |
---|
785 | ks=map(lambda x: 'figure.subplot.'+x, |
---|
786 | ['left','bottom','right','top','hspace','wspace']) |
---|
787 | return map(matplotlib.rcParams.get,ks) |
---|
788 | |
---|
789 | def plot_lines(self, linecat=None, doppler=0.0, deltachan=10, rotate=90.0, |
---|
790 | location=None): |
---|
791 | """ |
---|
792 | Plot a line catalog. |
---|
793 | Parameters: |
---|
794 | linecat: the linecatalog to plot |
---|
795 | doppler: the velocity shift to apply to the frequencies |
---|
796 | deltachan: the number of channels to include each side of the |
---|
797 | line to determine a local maximum/minimum |
---|
798 | rotate: the rotation (in degrees) for the text label (default 90.0) |
---|
799 | location: the location of the line annotation from the 'top', |
---|
800 | 'bottom' or alternate (None - the default) |
---|
801 | Notes: |
---|
802 | If the spectrum is flagged no line will be drawn in that location. |
---|
803 | """ |
---|
804 | errmsg = "Cannot plot spectral lines. Need to plot scantable first." |
---|
805 | self._assert_plotter(action="halt",errmsg=errmsg) |
---|
806 | if not self._data: |
---|
807 | raise RuntimeError("No scantable has been plotted yet.") |
---|
808 | from asap._asap import linecatalog |
---|
809 | if not isinstance(linecat, linecatalog): |
---|
810 | raise ValueError("'linecat' isn't of type linecatalog.") |
---|
811 | if not self._data.get_unit().endswith("Hz"): |
---|
812 | raise RuntimeError("Can only overlay linecatalogs when data is in frequency.") |
---|
813 | from numpy import ma |
---|
814 | for j in range(len(self._plotter.subplots)): |
---|
815 | self._plotter.subplot(j) |
---|
816 | lims = self._plotter.axes.get_xlim() |
---|
817 | for row in range(linecat.nrow()): |
---|
818 | # get_frequency returns MHz |
---|
819 | base = { "GHz": 1000.0, "MHz": 1.0, "Hz": 1.0e-6 } |
---|
820 | restf = linecat.get_frequency(row)/base[self._data.get_unit()] |
---|
821 | c = 299792.458 |
---|
822 | freq = restf*(1.0-doppler/c) |
---|
823 | if lims[0] < freq < lims[1]: |
---|
824 | if location is None: |
---|
825 | loc = 'bottom' |
---|
826 | if row%2: loc='top' |
---|
827 | else: loc = location |
---|
828 | maxys = [] |
---|
829 | for line in self._plotter.axes.lines: |
---|
830 | v = line._x |
---|
831 | asc = v[0] < v[-1] |
---|
832 | |
---|
833 | idx = None |
---|
834 | if not asc: |
---|
835 | if v[len(v)-1] <= freq <= v[0]: |
---|
836 | i = len(v)-1 |
---|
837 | while i>=0 and v[i] < freq: |
---|
838 | idx = i |
---|
839 | i-=1 |
---|
840 | else: |
---|
841 | if v[0] <= freq <= v[len(v)-1]: |
---|
842 | i = 0 |
---|
843 | while i<len(v) and v[i] < freq: |
---|
844 | idx = i |
---|
845 | i+=1 |
---|
846 | if idx is not None: |
---|
847 | lower = idx - deltachan |
---|
848 | upper = idx + deltachan |
---|
849 | if lower < 0: lower = 0 |
---|
850 | if upper > len(v): upper = len(v) |
---|
851 | s = slice(lower, upper) |
---|
852 | y = line._y[s] |
---|
853 | maxy = ma.maximum(y) |
---|
854 | if isinstance( maxy, float): |
---|
855 | maxys.append(maxy) |
---|
856 | if len(maxys): |
---|
857 | peak = max(maxys) |
---|
858 | if peak > self._plotter.axes.get_ylim()[1]: |
---|
859 | loc = 'bottom' |
---|
860 | else: |
---|
861 | continue |
---|
862 | self._plotter.vline_with_label(freq, peak, |
---|
863 | linecat.get_name(row), |
---|
864 | location=loc, rotate=rotate) |
---|
865 | self._plotter.show(hardrefresh=False) |
---|
866 | |
---|
867 | |
---|
868 | def save(self, filename=None, orientation=None, dpi=None): |
---|
869 | """ |
---|
870 | Save the plot to a file. The known formats are 'png', 'ps', 'eps'. |
---|
871 | Parameters: |
---|
872 | filename: The name of the output file. This is optional |
---|
873 | and autodetects the image format from the file |
---|
874 | suffix. If non filename is specified a file |
---|
875 | called 'yyyymmdd_hhmmss.png' is created in the |
---|
876 | current directory. |
---|
877 | orientation: optional parameter for postscript only (not eps). |
---|
878 | 'landscape', 'portrait' or None (default) are valid. |
---|
879 | If None is choosen for 'ps' output, the plot is |
---|
880 | automatically oriented to fill the page. |
---|
881 | dpi: The dpi of the output non-ps plot |
---|
882 | """ |
---|
883 | errmsg = "Cannot save figure. Need to plot first." |
---|
884 | self._assert_plotter(action="halt",errmsg=errmsg) |
---|
885 | |
---|
886 | self._plotter.save(filename,orientation,dpi) |
---|
887 | return |
---|
888 | |
---|
889 | @asaplog_post_dec |
---|
890 | def set_mask(self, mask=None, selection=None, refresh=True): |
---|
891 | """ |
---|
892 | Set a plotting mask for a specific polarization. |
---|
893 | This is useful for masking out 'noise' Pangle outside a source. |
---|
894 | Parameters: |
---|
895 | mask: a mask from scantable.create_mask |
---|
896 | selection: the spectra to apply the mask to. |
---|
897 | refresh: True (default) or False. If True, the plot is |
---|
898 | replotted based on the new parameter setting(s). |
---|
899 | Otherwise,the parameter(s) are set without replotting. |
---|
900 | Example: |
---|
901 | select = selector() |
---|
902 | select.setpolstrings('Pangle') |
---|
903 | plotter.set_mask(mymask, select) |
---|
904 | """ |
---|
905 | if not self._data: |
---|
906 | msg = "Can only set mask after a first call to plot()" |
---|
907 | raise RuntimeError(msg) |
---|
908 | if len(mask): |
---|
909 | if isinstance(mask, list) or isinstance(mask, tuple): |
---|
910 | self._usermask = array(mask) |
---|
911 | else: |
---|
912 | self._usermask = mask |
---|
913 | if mask is None and selection is None: |
---|
914 | self._usermask = [] |
---|
915 | self._maskselection = None |
---|
916 | if isinstance(selection, selector): |
---|
917 | self._maskselection = {'b': selection.get_beams(), |
---|
918 | 's': selection.get_scans(), |
---|
919 | 'i': selection.get_ifs(), |
---|
920 | 'p': selection.get_pols(), |
---|
921 | 't': [] } |
---|
922 | else: |
---|
923 | self._maskselection = None |
---|
924 | if refresh: self.plot(self._data) |
---|
925 | |
---|
926 | def _slice_indeces(self, data): |
---|
927 | mn = self._minmaxx[0] |
---|
928 | mx = self._minmaxx[1] |
---|
929 | asc = data[0] < data[-1] |
---|
930 | start=0 |
---|
931 | end = len(data)-1 |
---|
932 | inc = 1 |
---|
933 | if not asc: |
---|
934 | start = len(data)-1 |
---|
935 | end = 0 |
---|
936 | inc = -1 |
---|
937 | # find min index |
---|
938 | #while start > 0 and data[start] < mn: |
---|
939 | # start+= inc |
---|
940 | minind=start |
---|
941 | for ind in xrange(start,end+inc,inc): |
---|
942 | if data[ind] > mn: break |
---|
943 | minind=ind |
---|
944 | # find max index |
---|
945 | #while end > 0 and data[end] > mx: |
---|
946 | # end-=inc |
---|
947 | #if end > 0: end +=1 |
---|
948 | maxind=end |
---|
949 | for ind in xrange(end,start-inc,-inc): |
---|
950 | if data[ind] < mx: break |
---|
951 | maxind=ind |
---|
952 | start=minind |
---|
953 | end=maxind |
---|
954 | if start > end: |
---|
955 | return end,start+1 |
---|
956 | elif start < end: |
---|
957 | return start,end+1 |
---|
958 | else: |
---|
959 | return start,end |
---|
960 | |
---|
961 | def _reset(self): |
---|
962 | self._usermask = [] |
---|
963 | self._usermaskspectra = None |
---|
964 | self._offset = None |
---|
965 | self.set_selection(None, False) |
---|
966 | self._reset_header() |
---|
967 | |
---|
968 | def _reset_header(self): |
---|
969 | self._headtext={'string': None, 'textobj': None} |
---|
970 | |
---|
971 | def _plot(self, scan): |
---|
972 | savesel = scan.get_selection() |
---|
973 | sel = savesel + self._selection |
---|
974 | order = self._get_sortstring([self._panelling,self._stacking]) |
---|
975 | if order: |
---|
976 | sel.set_order(order) |
---|
977 | scan.set_selection(sel) |
---|
978 | d = {'b': scan.getbeam, 's': scan.getscan, |
---|
979 | 'i': scan.getif, 'p': scan.getpol, 't': scan.get_time, |
---|
980 | 'r': int}#, '_r': int} |
---|
981 | |
---|
982 | polmodes = dict(zip(sel.get_pols(), sel.get_poltypes())) |
---|
983 | # this returns either a tuple of numbers or a length (ncycles) |
---|
984 | # convert this into lengths |
---|
985 | n0,nstack0 = self._get_selected_n(scan) |
---|
986 | if isinstance(n0, int): n = n0 |
---|
987 | else: n = len(n0) |
---|
988 | if isinstance(nstack0, int): nstack = nstack0 |
---|
989 | else: nstack = len(nstack0) |
---|
990 | # In case of row stacking |
---|
991 | rowstack = False |
---|
992 | titlemode = self._panelling |
---|
993 | if self._stacking == "r" and self._panelling != "r": |
---|
994 | rowstack = True |
---|
995 | titlemode = '_r' |
---|
996 | nptot = n |
---|
997 | maxpanel, maxstack = 16,16 |
---|
998 | if nstack > maxstack: |
---|
999 | msg ="Scan to be overlayed contains more than %d selections.\n" \ |
---|
1000 | "Selecting first %d selections..." % (maxstack, maxstack) |
---|
1001 | asaplog.push(msg) |
---|
1002 | asaplog.post('WARN') |
---|
1003 | nstack = min(nstack,maxstack) |
---|
1004 | #n = min(n-self._ipanel-1,maxpanel) |
---|
1005 | n = n-self._ipanel-1 |
---|
1006 | |
---|
1007 | ganged = False |
---|
1008 | if n > 1: |
---|
1009 | ganged = rcParams['plotter.ganged'] |
---|
1010 | if self._panelling == 'i': |
---|
1011 | ganged = False |
---|
1012 | if self._rows and self._cols: |
---|
1013 | n = min(n,self._rows*self._cols) |
---|
1014 | self._plotter.set_panels(rows=self._rows,cols=self._cols, |
---|
1015 | nplots=n,margin=self._margins, |
---|
1016 | ganged=ganged) |
---|
1017 | else: |
---|
1018 | n = min(n,maxpanel) |
---|
1019 | self._plotter.set_panels(rows=n,cols=0,nplots=n, |
---|
1020 | margin=self._margins,ganged=ganged) |
---|
1021 | else: |
---|
1022 | self._plotter.set_panels(margin=self._margins) |
---|
1023 | #r = 0 |
---|
1024 | r = self._startrow |
---|
1025 | nr = scan.nrow() |
---|
1026 | a0,b0 = -1,-1 |
---|
1027 | allxlim = [] |
---|
1028 | allylim = [] |
---|
1029 | #newpanel=True |
---|
1030 | newpanel=False |
---|
1031 | panelcount,stackcount = 0,0 |
---|
1032 | # If this is not the first page |
---|
1033 | if r > 0: |
---|
1034 | # panelling value of the prev page |
---|
1035 | a0 = d[self._panelling](r-1) |
---|
1036 | # set the initial stackcount large not to plot |
---|
1037 | # the start row automatically |
---|
1038 | stackcount = nstack |
---|
1039 | |
---|
1040 | while r < nr: |
---|
1041 | a = d[self._panelling](r) |
---|
1042 | b = d[self._stacking](r) |
---|
1043 | if a > a0 and panelcount < n: |
---|
1044 | if n > 1: |
---|
1045 | self._plotter.subplot(panelcount) |
---|
1046 | self._plotter.palette(0) |
---|
1047 | #title |
---|
1048 | xlab = self._abcissa and self._abcissa[panelcount] \ |
---|
1049 | or scan._getabcissalabel() |
---|
1050 | if self._offset and not self._abcissa: |
---|
1051 | xlab += " (relative)" |
---|
1052 | ylab = self._ordinate and self._ordinate[panelcount] \ |
---|
1053 | or scan._get_ordinate_label() |
---|
1054 | self._plotter.set_axes('xlabel', xlab) |
---|
1055 | self._plotter.set_axes('ylabel', ylab) |
---|
1056 | #lbl = self._get_label(scan, r, self._panelling, self._title) |
---|
1057 | lbl = self._get_label(scan, r, titlemode, self._title) |
---|
1058 | if isinstance(lbl, list) or isinstance(lbl, tuple): |
---|
1059 | if 0 <= panelcount < len(lbl): |
---|
1060 | lbl = lbl[panelcount] |
---|
1061 | else: |
---|
1062 | # get default label |
---|
1063 | #lbl = self._get_label(scan, r, self._panelling, None) |
---|
1064 | lbl = self._get_label(scan, r, titlemode, None) |
---|
1065 | self._plotter.set_axes('title',lbl) |
---|
1066 | newpanel = True |
---|
1067 | stackcount = 0 |
---|
1068 | panelcount += 1 |
---|
1069 | # save the start row to plot this panel for future revisit. |
---|
1070 | if self._panelling != 'r' and \ |
---|
1071 | len(self._panelrows) < self._ipanel+1+panelcount: |
---|
1072 | self._panelrows += [r] |
---|
1073 | |
---|
1074 | #if (b > b0 or newpanel) and stackcount < nstack: |
---|
1075 | if stackcount < nstack and (newpanel or \ |
---|
1076 | rowstack or (a == a0 and b > b0)): |
---|
1077 | y = [] |
---|
1078 | if len(polmodes): |
---|
1079 | y = scan._getspectrum(r, polmodes[scan.getpol(r)]) |
---|
1080 | else: |
---|
1081 | y = scan._getspectrum(r) |
---|
1082 | # flag application |
---|
1083 | mr = scan._getflagrow(r) |
---|
1084 | from numpy import ma, array |
---|
1085 | if mr: |
---|
1086 | y = ma.masked_array(y,mask=mr) |
---|
1087 | else: |
---|
1088 | m = scan._getmask(r) |
---|
1089 | from numpy import logical_not, logical_and |
---|
1090 | if self._maskselection and len(self._usermask) == len(m): |
---|
1091 | if d[self._stacking](r) in self._maskselection[self._stacking]: |
---|
1092 | m = logical_and(m, self._usermask) |
---|
1093 | y = ma.masked_array(y,mask=logical_not(array(m,copy=False))) |
---|
1094 | |
---|
1095 | x = array(scan._getabcissa(r)) |
---|
1096 | if self._offset: |
---|
1097 | x += self._offset |
---|
1098 | if self._minmaxx is not None: |
---|
1099 | s,e = self._slice_indeces(x) |
---|
1100 | x = x[s:e] |
---|
1101 | y = y[s:e] |
---|
1102 | if len(x) > 1024 and rcParams['plotter.decimate']: |
---|
1103 | fac = len(x)/1024 |
---|
1104 | x = x[::fac] |
---|
1105 | y = y[::fac] |
---|
1106 | llbl = self._get_label(scan, r, self._stacking, self._lmap) |
---|
1107 | if isinstance(llbl, list) or isinstance(llbl, tuple): |
---|
1108 | if 0 <= stackcount < len(llbl): |
---|
1109 | # use user label |
---|
1110 | llbl = llbl[stackcount] |
---|
1111 | else: |
---|
1112 | # get default label |
---|
1113 | llbl = self._get_label(scan, r, self._stacking, None) |
---|
1114 | self._plotter.set_line(label=llbl) |
---|
1115 | plotit = self._plotter.plot |
---|
1116 | if self._hist: plotit = self._plotter.hist |
---|
1117 | if len(x) > 0 and not mr: |
---|
1118 | plotit(x,y) |
---|
1119 | xlim= self._minmaxx or [min(x),max(x)] |
---|
1120 | allxlim += xlim |
---|
1121 | ylim= self._minmaxy or [ma.minimum(y),ma.maximum(y)] |
---|
1122 | allylim += ylim |
---|
1123 | else: |
---|
1124 | xlim = self._minmaxx or [] |
---|
1125 | allxlim += xlim |
---|
1126 | ylim= self._minmaxy or [] |
---|
1127 | allylim += ylim |
---|
1128 | stackcount += 1 |
---|
1129 | a0=a |
---|
1130 | b0=b |
---|
1131 | # last in colour stack -> autoscale x |
---|
1132 | if stackcount == nstack and len(allxlim) > 0: |
---|
1133 | allxlim.sort() |
---|
1134 | self._plotter.subplots[panelcount-1]['axes'].set_xlim([allxlim[0],allxlim[-1]]) |
---|
1135 | if ganged: |
---|
1136 | allxlim = [allxlim[0],allxlim[-1]] |
---|
1137 | else: |
---|
1138 | # clear |
---|
1139 | allxlim =[] |
---|
1140 | |
---|
1141 | newpanel = False |
---|
1142 | #a0=a |
---|
1143 | #b0=b |
---|
1144 | # ignore following rows |
---|
1145 | if (panelcount == n and stackcount == nstack) or (r == nr-1): |
---|
1146 | # last panel -> autoscale y if ganged |
---|
1147 | #if rcParams['plotter.ganged'] and len(allylim) > 0: |
---|
1148 | if ganged and len(allylim) > 0: |
---|
1149 | allylim.sort() |
---|
1150 | self._plotter.set_limits(ylim=[allylim[0],allylim[-1]]) |
---|
1151 | break |
---|
1152 | r+=1 # next row |
---|
1153 | |
---|
1154 | # save the current counter for multi-page plotting |
---|
1155 | self._startrow = r+1 |
---|
1156 | self._ipanel += panelcount |
---|
1157 | if self.casabar_exists(): |
---|
1158 | if self._ipanel >= nptot-1: |
---|
1159 | self._plotter.figmgr.casabar.disable_next() |
---|
1160 | else: |
---|
1161 | self._plotter.figmgr.casabar.enable_next() |
---|
1162 | if self._ipanel + 1 - panelcount > 0: |
---|
1163 | self._plotter.figmgr.casabar.enable_prev() |
---|
1164 | else: |
---|
1165 | self._plotter.figmgr.casabar.disable_prev() |
---|
1166 | |
---|
1167 | #reset the selector to the scantable's original |
---|
1168 | scan.set_selection(savesel) |
---|
1169 | |
---|
1170 | #temporary switch-off for older matplotlib |
---|
1171 | #if self._fp is not None: |
---|
1172 | if self._fp is not None and getattr(self._plotter.figure,'findobj',False): |
---|
1173 | for o in self._plotter.figure.findobj(Text): |
---|
1174 | o.set_fontproperties(self._fp) |
---|
1175 | |
---|
1176 | def _get_sortstring(self, lorders): |
---|
1177 | d0 = {'s': 'SCANNO', 'b': 'BEAMNO', 'i':'IFNO', |
---|
1178 | 'p': 'POLNO', 'c': 'CYCLENO', 't' : 'TIME', 'r':None, '_r':None } |
---|
1179 | if not (type(lorders) == list) and not (type(lorders) == tuple): |
---|
1180 | return None |
---|
1181 | if len(lorders) > 0: |
---|
1182 | lsorts = [] |
---|
1183 | for order in lorders: |
---|
1184 | if order == "r": |
---|
1185 | # don't sort if row panelling/stacking |
---|
1186 | return None |
---|
1187 | ssort = d0[order] |
---|
1188 | if ssort: |
---|
1189 | lsorts.append(ssort) |
---|
1190 | return lsorts |
---|
1191 | return None |
---|
1192 | |
---|
1193 | def set_selection(self, selection=None, refresh=True, **kw): |
---|
1194 | """ |
---|
1195 | Parameters: |
---|
1196 | selection: a selector object (default unset the selection) |
---|
1197 | refresh: True (default) or False. If True, the plot is |
---|
1198 | replotted based on the new parameter setting(s). |
---|
1199 | Otherwise,the parameter(s) are set without replotting. |
---|
1200 | """ |
---|
1201 | if selection is None: |
---|
1202 | # reset |
---|
1203 | if len(kw) == 0: |
---|
1204 | self._selection = selector() |
---|
1205 | else: |
---|
1206 | # try keywords |
---|
1207 | for k in kw: |
---|
1208 | if k not in selector.fields: |
---|
1209 | raise KeyError("Invalid selection key '%s', valid keys are %s" % (k, selector.fields)) |
---|
1210 | self._selection = selector(**kw) |
---|
1211 | elif isinstance(selection, selector): |
---|
1212 | self._selection = selection |
---|
1213 | else: |
---|
1214 | raise TypeError("'selection' is not of type selector") |
---|
1215 | |
---|
1216 | order = self._get_sortstring([self._panelling,self._stacking]) |
---|
1217 | if order: |
---|
1218 | self._selection.set_order(order) |
---|
1219 | if refresh and self._data: |
---|
1220 | self.plot() |
---|
1221 | |
---|
1222 | def _get_selected_n(self, scan): |
---|
1223 | d1 = {'b': scan.getbeamnos, 's': scan.getscannos, |
---|
1224 | 'i': scan.getifnos, 'p': scan.getpolnos, 't': scan.ncycle, |
---|
1225 | 'r': scan.nrow}#, '_r': False} |
---|
1226 | d2 = { 'b': self._selection.get_beams(), |
---|
1227 | 's': self._selection.get_scans(), |
---|
1228 | 'i': self._selection.get_ifs(), |
---|
1229 | 'p': self._selection.get_pols(), |
---|
1230 | 't': self._selection.get_cycles(), |
---|
1231 | 'r': False}#, '_r': 1} |
---|
1232 | n = d2[self._panelling] or d1[self._panelling]() |
---|
1233 | nstack = d2[self._stacking] or d1[self._stacking]() |
---|
1234 | # handle row panelling/stacking |
---|
1235 | if self._panelling == 'r': |
---|
1236 | nstack = 1 |
---|
1237 | elif self._stacking == 'r': |
---|
1238 | n = 1 |
---|
1239 | return n,nstack |
---|
1240 | |
---|
1241 | def _get_label(self, scan, row, mode, userlabel=None): |
---|
1242 | if isinstance(userlabel, list) and len(userlabel) == 0: |
---|
1243 | userlabel = " " |
---|
1244 | pms = dict(zip(self._selection.get_pols(),self._selection.get_poltypes())) |
---|
1245 | if len(pms): |
---|
1246 | poleval = scan._getpollabel(scan.getpol(row),pms[scan.getpol(row)]) |
---|
1247 | else: |
---|
1248 | poleval = scan._getpollabel(scan.getpol(row),scan.poltype()) |
---|
1249 | d = {'b': "Beam "+str(scan.getbeam(row)), |
---|
1250 | #'s': scan._getsourcename(row), |
---|
1251 | 's': "Scan "+str(scan.getscan(row))+\ |
---|
1252 | " ("+str(scan._getsourcename(row))+")", |
---|
1253 | 'i': "IF"+str(scan.getif(row)), |
---|
1254 | 'p': poleval, |
---|
1255 | 't': str(scan.get_time(row)), |
---|
1256 | 'r': "row "+str(row), |
---|
1257 | #'_r': str(scan.get_time(row))+",\nIF"+str(scan.getif(row))+", "+poleval+", Beam"+str(scan.getbeam(row)) } |
---|
1258 | '_r': "" } |
---|
1259 | return userlabel or d[mode] |
---|
1260 | |
---|
1261 | def plotazel(self, scan=None, outfile=None): |
---|
1262 | """ |
---|
1263 | plot azimuth and elevation versus time of a scantable |
---|
1264 | """ |
---|
1265 | visible = rcParams['plotter.gui'] |
---|
1266 | from matplotlib import pylab as PL |
---|
1267 | from matplotlib.dates import DateFormatter |
---|
1268 | from pytz import timezone |
---|
1269 | from matplotlib.dates import HourLocator, MinuteLocator,SecondLocator, DayLocator |
---|
1270 | from matplotlib.ticker import MultipleLocator |
---|
1271 | from numpy import array, pi |
---|
1272 | if not visible or not self._visible: |
---|
1273 | PL.ioff() |
---|
1274 | from matplotlib.backends.backend_agg import FigureCanvasAgg |
---|
1275 | PL.gcf().canvas.switch_backends(FigureCanvasAgg) |
---|
1276 | self._data = scan |
---|
1277 | dates = self._data.get_time(asdatetime=True) |
---|
1278 | t = PL.date2num(dates) |
---|
1279 | tz = timezone('UTC') |
---|
1280 | PL.cla() |
---|
1281 | PL.ioff() |
---|
1282 | PL.clf() |
---|
1283 | # Adjust subplot margins |
---|
1284 | if not self._margins or len(self._margins) != 6: |
---|
1285 | self.set_margin(refresh=False) |
---|
1286 | lef, bot, rig, top, wsp, hsp = self._margins |
---|
1287 | PL.gcf().subplots_adjust(left=lef,bottom=bot,right=rig,top=top, |
---|
1288 | wspace=wsp,hspace=hsp) |
---|
1289 | |
---|
1290 | tdel = max(t) - min(t) |
---|
1291 | ax = PL.subplot(2,1,1) |
---|
1292 | el = array(self._data.get_elevation())*180./pi |
---|
1293 | PL.ylabel('El [deg.]') |
---|
1294 | dstr = dates[0].strftime('%Y/%m/%d') |
---|
1295 | if tdel > 1.0: |
---|
1296 | dstr2 = dates[len(dates)-1].strftime('%Y/%m/%d') |
---|
1297 | dstr = dstr + " - " + dstr2 |
---|
1298 | majloc = DayLocator() |
---|
1299 | minloc = HourLocator(range(0,23,12)) |
---|
1300 | timefmt = DateFormatter("%b%d") |
---|
1301 | elif tdel > 24./60.: |
---|
1302 | timefmt = DateFormatter('%H:%M') |
---|
1303 | majloc = HourLocator() |
---|
1304 | minloc = MinuteLocator(30) |
---|
1305 | else: |
---|
1306 | timefmt = DateFormatter('%H:%M') |
---|
1307 | majloc = MinuteLocator(interval=5) |
---|
1308 | minloc = SecondLocator(30) |
---|
1309 | |
---|
1310 | PL.title(dstr) |
---|
1311 | if tdel == 0.0: |
---|
1312 | th = (t - PL.floor(t))*24.0 |
---|
1313 | PL.plot(th,el,'o',markersize=2, markerfacecolor='b', markeredgecolor='b') |
---|
1314 | else: |
---|
1315 | PL.plot_date(t,el,'o', markersize=2, markerfacecolor='b', markeredgecolor='b',tz=tz) |
---|
1316 | #ax.grid(True) |
---|
1317 | ax.xaxis.set_major_formatter(timefmt) |
---|
1318 | ax.xaxis.set_major_locator(majloc) |
---|
1319 | ax.xaxis.set_minor_locator(minloc) |
---|
1320 | ax.yaxis.grid(True) |
---|
1321 | yloc = MultipleLocator(30) |
---|
1322 | ax.set_ylim(0,90) |
---|
1323 | ax.yaxis.set_major_locator(yloc) |
---|
1324 | if tdel > 1.0: |
---|
1325 | labels = ax.get_xticklabels() |
---|
1326 | # PL.setp(labels, fontsize=10, rotation=45) |
---|
1327 | PL.setp(labels, fontsize=10) |
---|
1328 | |
---|
1329 | # Az plot |
---|
1330 | az = array(self._data.get_azimuth())*180./pi |
---|
1331 | if min(az) < 0: |
---|
1332 | for irow in range(len(az)): |
---|
1333 | if az[irow] < 0: az[irow] += 360.0 |
---|
1334 | |
---|
1335 | ax2 = PL.subplot(2,1,2) |
---|
1336 | #PL.xlabel('Time (UT [hour])') |
---|
1337 | PL.ylabel('Az [deg.]') |
---|
1338 | if tdel == 0.0: |
---|
1339 | PL.plot(th,az,'o',markersize=2, markeredgecolor='b',markerfacecolor='b') |
---|
1340 | else: |
---|
1341 | PL.plot_date(t,az,'o', markersize=2,markeredgecolor='b',markerfacecolor='b',tz=tz) |
---|
1342 | ax2.xaxis.set_major_formatter(timefmt) |
---|
1343 | ax2.xaxis.set_major_locator(majloc) |
---|
1344 | ax2.xaxis.set_minor_locator(minloc) |
---|
1345 | #ax2.grid(True) |
---|
1346 | ax2.set_ylim(0,360) |
---|
1347 | ax2.yaxis.grid(True) |
---|
1348 | #hfmt = DateFormatter('%H') |
---|
1349 | #hloc = HourLocator() |
---|
1350 | yloc = MultipleLocator(60) |
---|
1351 | ax2.yaxis.set_major_locator(yloc) |
---|
1352 | if tdel > 1.0: |
---|
1353 | labels = ax2.get_xticklabels() |
---|
1354 | PL.setp(labels, fontsize=10) |
---|
1355 | PL.xlabel('Time (UT [day])') |
---|
1356 | else: |
---|
1357 | PL.xlabel('Time (UT [hour])') |
---|
1358 | |
---|
1359 | PL.ion() |
---|
1360 | PL.draw() |
---|
1361 | if matplotlib.get_backend() == 'Qt4Agg': PL.gcf().show() |
---|
1362 | if (outfile is not None): |
---|
1363 | PL.savefig(outfile) |
---|
1364 | |
---|
1365 | def plotpointing(self, scan=None, outfile=None): |
---|
1366 | """ |
---|
1367 | plot telescope pointings |
---|
1368 | """ |
---|
1369 | visible = rcParams['plotter.gui'] |
---|
1370 | from matplotlib import pylab as PL |
---|
1371 | from numpy import array, pi |
---|
1372 | if not visible or not self._visible: |
---|
1373 | PL.ioff() |
---|
1374 | from matplotlib.backends.backend_agg import FigureCanvasAgg |
---|
1375 | PL.gcf().canvas.switch_backends(FigureCanvasAgg) |
---|
1376 | self._data = scan |
---|
1377 | dir = array(self._data.get_directionval()).transpose() |
---|
1378 | ra = dir[0]*180./pi |
---|
1379 | dec = dir[1]*180./pi |
---|
1380 | PL.cla() |
---|
1381 | #PL.ioff() |
---|
1382 | PL.clf() |
---|
1383 | # Adjust subplot margins |
---|
1384 | if not self._margins or len(self._margins) != 6: |
---|
1385 | self.set_margin(refresh=False) |
---|
1386 | lef, bot, rig, top, wsp, hsp = self._margins |
---|
1387 | PL.gcf().subplots_adjust(left=lef,bottom=bot,right=rig,top=top, |
---|
1388 | wspace=wsp,hspace=hsp) |
---|
1389 | ax = PL.gca() |
---|
1390 | #ax = PL.axes([0.1,0.1,0.8,0.8]) |
---|
1391 | #ax = PL.axes([0.1,0.1,0.8,0.8]) |
---|
1392 | ax.set_aspect('equal') |
---|
1393 | PL.plot(ra, dec, 'b,') |
---|
1394 | PL.xlabel('RA [deg.]') |
---|
1395 | PL.ylabel('Declination [deg.]') |
---|
1396 | PL.title('Telescope pointings') |
---|
1397 | [xmin,xmax,ymin,ymax] = PL.axis() |
---|
1398 | PL.axis([xmax,xmin,ymin,ymax]) |
---|
1399 | PL.ion() |
---|
1400 | PL.draw() |
---|
1401 | if matplotlib.get_backend() == 'Qt4Agg': PL.gcf().show() |
---|
1402 | if (outfile is not None): |
---|
1403 | PL.savefig(outfile) |
---|
1404 | |
---|
1405 | # plot total power data |
---|
1406 | # plotting in time is not yet implemented.. |
---|
1407 | @asaplog_post_dec |
---|
1408 | def plottp(self, scan=None): |
---|
1409 | self._assert_plotter(action="reload") |
---|
1410 | self._plotter.hold() |
---|
1411 | self._plotter.clear() |
---|
1412 | from asap import scantable |
---|
1413 | if not self._data and not scan: |
---|
1414 | msg = "Input is not a scantable" |
---|
1415 | raise TypeError(msg) |
---|
1416 | if isinstance(scan, scantable): |
---|
1417 | if self._data is not None: |
---|
1418 | if scan != self._data: |
---|
1419 | self._data = scan |
---|
1420 | # reset |
---|
1421 | self._reset() |
---|
1422 | else: |
---|
1423 | self._data = scan |
---|
1424 | self._reset() |
---|
1425 | # ranges become invalid when abcissa changes? |
---|
1426 | #if self._abcunit and self._abcunit != self._data.get_unit(): |
---|
1427 | # self._minmaxx = None |
---|
1428 | # self._minmaxy = None |
---|
1429 | # self._abcunit = self._data.get_unit() |
---|
1430 | # self._datamask = None |
---|
1431 | |
---|
1432 | # Adjust subplot margins |
---|
1433 | if not self._margins or len(self._margins) !=6: |
---|
1434 | self.set_margin(refresh=False) |
---|
1435 | lef, bot, rig, top, wsp, hsp = self._margins |
---|
1436 | self._plotter.figure.subplots_adjust( |
---|
1437 | left=lef,bottom=bot,right=rig,top=top,wspace=wsp,hspace=hsp) |
---|
1438 | if self.casabar_exists(): self._plotter.figmgr.casabar.disable_button() |
---|
1439 | self._plottp(self._data) |
---|
1440 | if self._minmaxy is not None: |
---|
1441 | self._plotter.set_limits(ylim=self._minmaxy) |
---|
1442 | self._plotter.release() |
---|
1443 | self._plotter.tidy() |
---|
1444 | self._plotter.show(hardrefresh=False) |
---|
1445 | return |
---|
1446 | |
---|
1447 | def _plottp(self,scan): |
---|
1448 | """ |
---|
1449 | private method for plotting total power data |
---|
1450 | """ |
---|
1451 | from numpy import ma, array, arange, logical_not |
---|
1452 | r=0 |
---|
1453 | nr = scan.nrow() |
---|
1454 | a0,b0 = -1,-1 |
---|
1455 | allxlim = [] |
---|
1456 | allylim = [] |
---|
1457 | y=[] |
---|
1458 | self._plotter.set_panels() |
---|
1459 | self._plotter.palette(0) |
---|
1460 | #title |
---|
1461 | #xlab = self._abcissa and self._abcissa[panelcount] \ |
---|
1462 | # or scan._getabcissalabel() |
---|
1463 | #ylab = self._ordinate and self._ordinate[panelcount] \ |
---|
1464 | # or scan._get_ordinate_label() |
---|
1465 | xlab = self._abcissa or 'row number' #or Time |
---|
1466 | ylab = self._ordinate or scan._get_ordinate_label() |
---|
1467 | self._plotter.set_axes('xlabel',xlab) |
---|
1468 | self._plotter.set_axes('ylabel',ylab) |
---|
1469 | lbl = self._get_label(scan, r, 's', self._title) |
---|
1470 | if isinstance(lbl, list) or isinstance(lbl, tuple): |
---|
1471 | # if 0 <= panelcount < len(lbl): |
---|
1472 | # lbl = lbl[panelcount] |
---|
1473 | # else: |
---|
1474 | # get default label |
---|
1475 | lbl = self._get_label(scan, r, self._panelling, None) |
---|
1476 | self._plotter.set_axes('title',lbl) |
---|
1477 | y=array(scan._get_column(scan._getspectrum,-1)) |
---|
1478 | m = array(scan._get_column(scan._getmask,-1)) |
---|
1479 | y = ma.masked_array(y,mask=logical_not(array(m,copy=False))) |
---|
1480 | x = arange(len(y)) |
---|
1481 | # try to handle spectral data somewhat... |
---|
1482 | l,m = y.shape |
---|
1483 | if m > 1: |
---|
1484 | y=y.mean(axis=1) |
---|
1485 | plotit = self._plotter.plot |
---|
1486 | llbl = self._get_label(scan, r, self._stacking, None) |
---|
1487 | self._plotter.set_line(label=llbl) |
---|
1488 | if len(x) > 0: |
---|
1489 | plotit(x,y) |
---|
1490 | |
---|
1491 | |
---|
1492 | # forwards to matplotlib.Figure.text |
---|
1493 | def figtext(self, *args, **kwargs): |
---|
1494 | """ |
---|
1495 | Add text to figure at location x,y (relative 0-1 coords). |
---|
1496 | This method forwards *args and **kwargs to a Matplotlib method, |
---|
1497 | matplotlib.Figure.text. |
---|
1498 | See the method help for detailed information. |
---|
1499 | """ |
---|
1500 | self._assert_plotter(action="reload") |
---|
1501 | self._plotter.text(*args, **kwargs) |
---|
1502 | # end matplotlib.Figure.text forwarding function |
---|
1503 | |
---|
1504 | |
---|
1505 | # printing header information |
---|
1506 | @asaplog_post_dec |
---|
1507 | def print_header(self, plot=True, fontsize=9, logger=False, selstr='', extrastr=''): |
---|
1508 | """ |
---|
1509 | print data (scantable) header on the plot and/or logger. |
---|
1510 | To plot the header on the plot, this method should be called after |
---|
1511 | plotting spectra by the method, asapplotter.plot. |
---|
1512 | Parameters: |
---|
1513 | plot: whether or not print header info on the plot. |
---|
1514 | fontsize: header font size (valid only plot=True) |
---|
1515 | logger: whether or not print header info on the logger. |
---|
1516 | selstr: additional selection string (not verified) |
---|
1517 | extrastr: additional string to print at the beginning (not verified) |
---|
1518 | """ |
---|
1519 | if not plot and not logger: |
---|
1520 | return |
---|
1521 | if not self._data: |
---|
1522 | raise RuntimeError("No scantable has been set yet.") |
---|
1523 | # Now header will be printed on plot and/or logger. |
---|
1524 | # Get header information and format it. |
---|
1525 | ssum=self._data._list_header() |
---|
1526 | # Print Observation header to the upper-left corner of plot |
---|
1527 | headstr=[ssum[0:ssum.find('Obs. Type:')]] |
---|
1528 | headstr.append(ssum[ssum.find('Obs. Type:'):ssum.find('Flux Unit:')]) |
---|
1529 | if extrastr != '': |
---|
1530 | headstr[0]=extrastr+'\n'+headstr[0] |
---|
1531 | self._headtext['extrastr'] = extrastr |
---|
1532 | if selstr != '': |
---|
1533 | selstr += '\n' |
---|
1534 | self._headtext['selstr'] = selstr |
---|
1535 | ssel=(selstr+self._data.get_selection().__str__()+self._selection.__str__() or 'none') |
---|
1536 | headstr.append('***Selections***\n'+ssel) |
---|
1537 | |
---|
1538 | if plot: |
---|
1539 | errmsg = "Can plot header only after the first call to plot()." |
---|
1540 | self._assert_plotter(action="halt",errmsg=errmsg) |
---|
1541 | self._plotter.hold() |
---|
1542 | self._header_plot(headstr,fontsize=fontsize) |
---|
1543 | import time |
---|
1544 | self._plotter.figure.text(0.99,0.01, |
---|
1545 | time.strftime("%a %d %b %Y %H:%M:%S %Z"), |
---|
1546 | horizontalalignment='right', |
---|
1547 | verticalalignment='bottom',fontsize=8) |
---|
1548 | self._plotter.release() |
---|
1549 | if logger: |
---|
1550 | selstr = "Selections: "+ssel |
---|
1551 | asaplog.push("----------------\n Plot Summary\n----------------") |
---|
1552 | asaplog.push(extrastr) |
---|
1553 | asaplog.push(ssum[0:ssum.find('Selection:')]\ |
---|
1554 | + selstr) |
---|
1555 | self._headtext['string'] = headstr |
---|
1556 | del ssel, ssum, headstr |
---|
1557 | |
---|
1558 | def _header_plot(self, texts, fontsize=9): |
---|
1559 | self._headtext['textobj']=[] |
---|
1560 | nstcol=len(texts) |
---|
1561 | for i in range(nstcol): |
---|
1562 | self._headtext['textobj'].append( |
---|
1563 | self._plotter.figure.text(0.03+float(i)/nstcol,0.98, |
---|
1564 | texts[i], |
---|
1565 | horizontalalignment='left', |
---|
1566 | verticalalignment='top', |
---|
1567 | fontsize=fontsize)) |
---|
1568 | |
---|
1569 | def clear_header(self): |
---|
1570 | if not self._headtext['textobj']: |
---|
1571 | asaplog.push("No header has been plotted. Exit without any operation") |
---|
1572 | asaplog.post("WARN") |
---|
1573 | elif self._assert_plotter(action="status"): |
---|
1574 | self._plotter.hold() |
---|
1575 | for textobj in self._headtext['textobj']: |
---|
1576 | #if textobj.get_text() in self._headstring: |
---|
1577 | try: |
---|
1578 | textobj.remove() |
---|
1579 | except NotImplementedError: |
---|
1580 | self._plotter.figure.texts.pop(self._plotter.figure.texts.index(textobj)) |
---|
1581 | self._plotter.release() |
---|
1582 | self._reset_header() |
---|
1583 | |
---|
1584 | # plot spectra by pointing |
---|
1585 | @asaplog_post_dec |
---|
1586 | def plotgrid(self, scan=None,center=None,spacing=None,rows=None,cols=None): |
---|
1587 | """ |
---|
1588 | Plot spectra based on direction. |
---|
1589 | |
---|
1590 | Parameters: |
---|
1591 | scan: a scantable to plot |
---|
1592 | center: the grid center direction (a list) of plots in the |
---|
1593 | unit of DIRECTION column. |
---|
1594 | (default) the center of map region |
---|
1595 | spacing: a list of horizontal (R.A.) and vertical (Dec.) |
---|
1596 | spacing in the unit of DIRECTION column. |
---|
1597 | (default) Calculated by the extent of map region and |
---|
1598 | the number of rows and cols to cover |
---|
1599 | rows: number of panels (grid points) in horizontal direction |
---|
1600 | cols: number of panels (grid points) in vertical direction |
---|
1601 | |
---|
1602 | Note: |
---|
1603 | - Only the first IFNO, POLNO, and BEAM in the scantable will be |
---|
1604 | plotted. |
---|
1605 | - This method doesn't re-grid and average spectra in scantable. Use |
---|
1606 | asapgrid module to re-grid spectra before plotting with this method. |
---|
1607 | Only the first spectrum is plotted in case there are multiple |
---|
1608 | spectra which belong to a grid. |
---|
1609 | """ |
---|
1610 | from asap import scantable |
---|
1611 | from numpy import array, ma, cos |
---|
1612 | if not self._data and not scan: |
---|
1613 | msg = "No scantable is specified to plot" |
---|
1614 | raise TypeError(msg) |
---|
1615 | if scan: |
---|
1616 | self.set_data(scan, refresh=False) |
---|
1617 | del scan |
---|
1618 | |
---|
1619 | # Rows and cols |
---|
1620 | if rows: |
---|
1621 | self._rows = int(rows) |
---|
1622 | else: |
---|
1623 | msg = "Number of rows to plot are not specified. " |
---|
1624 | if self._rows: |
---|
1625 | msg += "Using previous value = %d" % (self._rows) |
---|
1626 | asaplog.push(msg) |
---|
1627 | else: |
---|
1628 | self._rows = 1 |
---|
1629 | msg += "Setting rows = %d" % (self._rows) |
---|
1630 | asaplog.post() |
---|
1631 | asaplog.push(msg) |
---|
1632 | asaplog.post("WARN") |
---|
1633 | if cols: |
---|
1634 | self._cols = int(cols) |
---|
1635 | else: |
---|
1636 | msg = "Number of cols to plot are not specified. " |
---|
1637 | if self._cols: |
---|
1638 | msg += "Using previous value = %d" % (self._cols) |
---|
1639 | asaplog.push(msg) |
---|
1640 | else: |
---|
1641 | self._cols = 1 |
---|
1642 | msg += "Setting cols = %d" % (self._cols) |
---|
1643 | asaplog.post() |
---|
1644 | asaplog.push(msg) |
---|
1645 | asaplog.post("WARN") |
---|
1646 | |
---|
1647 | # Center and spacing |
---|
1648 | if center is None: |
---|
1649 | #asaplog.post() |
---|
1650 | asaplog.push("Grid center is not specified. Automatically calculated from pointing center.") |
---|
1651 | #asaplog.post("WARN") |
---|
1652 | dirarr = array(self._data.get_directionval()).transpose() |
---|
1653 | #center = [dirarr[0].mean(), dirarr[1].mean()] |
---|
1654 | center = [0.5*(dirarr[0].max() + dirarr[0].min()), |
---|
1655 | 0.5*(dirarr[1].max() + dirarr[1].min())] |
---|
1656 | del dirarr |
---|
1657 | elif (type(center) in (list, tuple)) and len(center) > 1: |
---|
1658 | center = center[0:2] |
---|
1659 | else: |
---|
1660 | msg = "Direction of grid center should be a list of float (R.A., Dec.)" |
---|
1661 | raise ValueError, msg |
---|
1662 | asaplog.push("Grid center: (%f, %f) " % (center[0],center[1])) |
---|
1663 | |
---|
1664 | if spacing is None: |
---|
1665 | #asaplog.post() |
---|
1666 | asaplog.push("Grid spacing not specified. Automatically calculated from map coverage") |
---|
1667 | #asaplog.post("WARN") |
---|
1668 | # automatically get spacing |
---|
1669 | dirarr = array(self._data.get_directionval()).transpose() |
---|
1670 | wx = 2. * max(abs(dirarr[0].max()-center[0]), |
---|
1671 | abs(dirarr[0].min()-center[0])) |
---|
1672 | wy = 2. * max(abs(dirarr[1].max()-center[1]), |
---|
1673 | abs(dirarr[1].min()-center[1])) |
---|
1674 | ## slightly expand area to plot the edges |
---|
1675 | #wx *= 1.01 |
---|
1676 | #wy *= 1.01 |
---|
1677 | #xgrid = wx/self._cols |
---|
1678 | #ygrid = wy/self._rows |
---|
1679 | xgrid = wx/max(self._cols-1.,1.) |
---|
1680 | ygrid = wy/max(self._rows-1.,1.) |
---|
1681 | #print "Pointing range: (x, y) = (%f - %f, %f - %f)" %\ |
---|
1682 | # (dirarr[0].min(),dirarr[0].max(),dirarr[1].min(),dirarr[1].max()) |
---|
1683 | # identical R.A. and/or Dec. for all spectra. |
---|
1684 | if xgrid == 0: |
---|
1685 | xgrid = 1. |
---|
1686 | if ygrid == 0: |
---|
1687 | ygrid = 1. |
---|
1688 | # spacing should be negative to transpose plot |
---|
1689 | spacing = [- xgrid, - ygrid] |
---|
1690 | del dirarr, xgrid, ygrid |
---|
1691 | #elif isinstance(spacing, str): |
---|
1692 | # # spacing is a quantity |
---|
1693 | elif (type(spacing) in (list, tuple)) and len(spacing) > 1: |
---|
1694 | for i in xrange(2): |
---|
1695 | val = spacing[i] |
---|
1696 | if not isinstance(val, float): |
---|
1697 | raise TypeError("spacing should be a list of float") |
---|
1698 | if val > 0.: |
---|
1699 | spacing[i] = -val |
---|
1700 | spacing = spacing[0:2] |
---|
1701 | # Correction of Dec. effect |
---|
1702 | spacing[0] /= cos(center[1]) |
---|
1703 | else: |
---|
1704 | msg = "Invalid spacing." |
---|
1705 | raise TypeError(msg) |
---|
1706 | asaplog.push("Spacing: (%f, %f) (projected)" % (spacing[0],spacing[1])) |
---|
1707 | |
---|
1708 | ntotpl = self._rows * self._cols |
---|
1709 | minpos = [center[0]-spacing[0]*self._cols/2., |
---|
1710 | center[1]-spacing[1]*self._rows/2.] |
---|
1711 | #print "Plot range: (x, y) = (%f - %f, %f - %f)" %\ |
---|
1712 | # (minpos[0],minpos[0]+spacing[0]*self._cols, |
---|
1713 | # minpos[1],minpos[1]+spacing[1]*self._rows) |
---|
1714 | ifs = self._data.getifnos() |
---|
1715 | if len(ifs) > 1: |
---|
1716 | msg = "Found multiple IFs in scantable. Only the first IF (IFNO=%d) will be plotted." % ifs[0] |
---|
1717 | asaplog.post() |
---|
1718 | asaplog.push(msg) |
---|
1719 | asaplog.post("WARN") |
---|
1720 | pols = self._data.getpolnos() |
---|
1721 | if len(pols) > 1: |
---|
1722 | msg = "Found multiple POLs in scantable. Only the first POL (POLNO=%d) will be plotted." % pols[0] |
---|
1723 | asaplog.post() |
---|
1724 | asaplog.push(msg) |
---|
1725 | asaplog.post("WARN") |
---|
1726 | beams = self._data.getbeamnos() |
---|
1727 | if len(beams) > 1: |
---|
1728 | msg = "Found multiple BEAMs in scantable. Only the first BEAM (BEAMNO=%d) will be plotted." % beams[0] |
---|
1729 | asaplog.post() |
---|
1730 | asaplog.push(msg) |
---|
1731 | asaplog.post("WARN") |
---|
1732 | self._data.set_selection(ifs=[ifs[0]],pols=[pols[0]],beams=[beams[0]]) |
---|
1733 | if self._data.nrow() > ntotpl: |
---|
1734 | msg = "Scantable is finely sampled than plotting grids. "\ |
---|
1735 | + "Only the first spectrum is plotted in each grid." |
---|
1736 | asaplog.post() |
---|
1737 | asaplog.push(msg) |
---|
1738 | asaplog.post("WARN") |
---|
1739 | |
---|
1740 | self._assert_plotter(action="reload") |
---|
1741 | self._plotter.hold() |
---|
1742 | self._plotter.clear() |
---|
1743 | self._plotter.legend() |
---|
1744 | |
---|
1745 | # Adjust subplot margins |
---|
1746 | if not self._margins or len(self._margins) !=6: |
---|
1747 | self.set_margin(refresh=False) |
---|
1748 | self._plotter.set_panels(rows=self._rows,cols=self._cols, |
---|
1749 | nplots=ntotpl,margin=self._margins,ganged=True) |
---|
1750 | if self.casabar_exists(): |
---|
1751 | self._plotter.figmgr.casabar.set_pagecounter(1) |
---|
1752 | self._plotter.figmgr.casabar.enable_button() |
---|
1753 | # Actual plot |
---|
1754 | npl = 0 |
---|
1755 | for irow in range(self._data.nrow()): |
---|
1756 | pos = self._data.get_directionval(irow) |
---|
1757 | ix = int((pos[0] - minpos[0])/spacing[0]) |
---|
1758 | if ix < 0 or ix >= self._cols: |
---|
1759 | #print "Row %d : Out of X-range (x = %f) ... skipped" % (irow, pos[0]) |
---|
1760 | continue |
---|
1761 | iy = int((pos[1]- minpos[1])/spacing[1]) |
---|
1762 | if iy < 0 or iy >= self._cols: |
---|
1763 | #print "Row %d : Out of Y-range (y = %f) ... skipped" % (irow,pos[1]) |
---|
1764 | continue |
---|
1765 | ipanel = ix + iy*self._cols |
---|
1766 | if len(self._plotter.subplots[ipanel]['lines']) > 0: |
---|
1767 | #print "Row %d : panel %d lready plotted ... skipped" % (irow,ipanel) |
---|
1768 | # a spectrum already plotted in the panel |
---|
1769 | continue |
---|
1770 | # Plotting this row |
---|
1771 | #print "PLOTTING row %d (panel=%d)" % (irow, ipanel) |
---|
1772 | npl += 1 |
---|
1773 | self._plotter.subplot(ipanel) |
---|
1774 | self._plotter.palette(0,colormap=self._colormap, \ |
---|
1775 | linestyle=0,linestyles=self._linestyles) |
---|
1776 | xlab = self._abcissa and self._abcissa[ipanel] \ |
---|
1777 | or self._data._getabcissalabel(irow) |
---|
1778 | if self._offset and not self._abcissa: |
---|
1779 | xlab += " (relative)" |
---|
1780 | ylab = self._ordinate and self._ordinate[ipanel] \ |
---|
1781 | or self._data._get_ordinate_label() |
---|
1782 | self._plotter.set_axes('xlabel', xlab) |
---|
1783 | self._plotter.set_axes('ylabel', ylab) |
---|
1784 | #from numpy import pi |
---|
1785 | #lbl = "(%f, %f)" % (self._data.get_directionval(irow)[0]*180/pi,self._data.get_directionval(irow)[1]*180./pi) |
---|
1786 | lbl = self._data.get_direction(irow) |
---|
1787 | self._plotter.set_axes('title',lbl) |
---|
1788 | |
---|
1789 | y = self._data._getspectrum(irow) |
---|
1790 | # flag application |
---|
1791 | mr = self._data._getflagrow(irow) |
---|
1792 | if mr: # FLAGROW=True |
---|
1793 | y = ma.masked_array(y,mask=mr) |
---|
1794 | else: |
---|
1795 | m = self._data._getmask(irow) |
---|
1796 | from numpy import logical_not, logical_and |
---|
1797 | ### user mask is not available so far |
---|
1798 | #if self._maskselection and len(self._usermask) == len(m): |
---|
1799 | # if d[self._stacking](irow) in self._maskselection[self._stacking]: |
---|
1800 | # m = logical_and(m, self._usermask) |
---|
1801 | y = ma.masked_array(y,mask=logical_not(array(m,copy=False))) |
---|
1802 | |
---|
1803 | x = array(self._data._getabcissa(irow)) |
---|
1804 | if self._offset: |
---|
1805 | x += self._offset |
---|
1806 | if self._minmaxx is not None: |
---|
1807 | s,e = self._slice_indeces(x) |
---|
1808 | x = x[s:e] |
---|
1809 | y = y[s:e] |
---|
1810 | if len(x) > 1024 and rcParams['plotter.decimate']: |
---|
1811 | fac = len(x)/1024 |
---|
1812 | x = x[::fac] |
---|
1813 | y = y[::fac] |
---|
1814 | self._plotter.set_line(label=lbl) |
---|
1815 | plotit = self._plotter.plot |
---|
1816 | if self._hist: plotit = self._plotter.hist |
---|
1817 | if len(x) > 0 and not mr: |
---|
1818 | plotit(x,y) |
---|
1819 | # xlim= self._minmaxx or [min(x),max(x)] |
---|
1820 | # allxlim += xlim |
---|
1821 | # ylim= self._minmaxy or [ma.minimum(y),ma.maximum(y)] |
---|
1822 | # allylim += ylim |
---|
1823 | # else: |
---|
1824 | # xlim = self._minmaxx or [] |
---|
1825 | # allxlim += xlim |
---|
1826 | # ylim= self._minmaxy or [] |
---|
1827 | # allylim += ylim |
---|
1828 | |
---|
1829 | if npl >= ntotpl: |
---|
1830 | break |
---|
1831 | |
---|
1832 | if self._minmaxy is not None: |
---|
1833 | self._plotter.set_limits(ylim=self._minmaxy) |
---|
1834 | self._plotter.release() |
---|
1835 | self._plotter.tidy() |
---|
1836 | self._plotter.show(hardrefresh=False) |
---|
1837 | return |
---|