New function to get quality classes from uncertainties, plot only automatic picks, if pick qualities are less than 4.
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								QtPyLoT.py
									
									
									
									
									
								
							
							
						
						
									
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							| @ -64,7 +64,7 @@ from pylot.core.io.data import Data | ||||
| from pylot.core.io.inputs import FilterOptions, PylotParameter | ||||
| from autoPyLoT import autoPyLoT | ||||
| from pylot.core.pick.compare import Comparison | ||||
| from pylot.core.pick.utils import symmetrize_error | ||||
| from pylot.core.pick.utils import symmetrize_error, getQualityfromUncertainty | ||||
| from pylot.core.io.phases import picksdict_from_picks | ||||
| import pylot.core.loc.nll as nll | ||||
| from pylot.core.util.defaults import FILTERDEFAULTS, SetChannelComponents | ||||
| @ -1951,13 +1951,19 @@ class MainWindow(QMainWindow): | ||||
|             } | ||||
| 
 | ||||
|         stat_picks = self.getPicks(type=picktype)[station] | ||||
| 
 | ||||
|         stime = self.getStime() | ||||
| 
 | ||||
|         for phase in stat_picks: | ||||
|             picks = stat_picks[phase] | ||||
|             if type(stat_picks[phase]) is not dict and type(stat_picks[phase]) is not AttribDict: | ||||
|                 return | ||||
| 
 | ||||
|             # get quality classes | ||||
|             if phase[0] == 'P': | ||||
|                 quality = getQualityfromUncertainty(picks['spe'], self._inputs['timeerrorsP']) | ||||
|             elif phase[0] == 'S': | ||||
|                 quality = getQualityfromUncertainty(picks['spe'], self._inputs['timeerrorsS']) | ||||
| 
 | ||||
|             colors = phase_col[phase[0].upper()] | ||||
| 
 | ||||
|             mpp = picks['mpp'] - stime | ||||
| @ -1994,6 +2000,7 @@ class MainWindow(QMainWindow): | ||||
|                     else: | ||||
|                         pw.plot([mpp, mpp], ylims, pen=colors[0], name='{}-Pick (NO PICKERROR)'.format(phase)) | ||||
|                 elif picktype == 'auto': | ||||
|                     if quality < 4: | ||||
|                         pw.plot([mpp, mpp], ylims, pen=colors[3]) | ||||
|                 else: | ||||
|                     raise TypeError('Unknown picktype {0}'.format(picktype)) | ||||
| @ -2009,6 +2016,7 @@ class MainWindow(QMainWindow): | ||||
|                     else: | ||||
|                         ax.plot([mpp, mpp], ylims, colors[6], label='{}-Pick (NO PICKERROR)'.format(phase)) | ||||
|                 elif picktype == 'auto': | ||||
|                     if quality < 4: | ||||
|                         ax.plot(mpp, ylims[1], colors[3], | ||||
|                                 mpp, ylims[0], colors[4]) | ||||
|                         ax.vlines(mpp, ylims[0], ylims[1], colors[5], linestyles='dotted') | ||||
|  | ||||
| @ -1069,6 +1069,31 @@ def checkZ4S(X, pick, zfac, checkwin, iplot, fig=None): | ||||
|         ax.set_xlabel('Time [s] since %s' % zdat[0].stats.starttime) | ||||
|     return returnflag | ||||
| 
 | ||||
| def getQualityfromUncertainty(uncertainty, Errors): | ||||
|     '''Script to transform uncertainty into quality classes 0-4 | ||||
|        regarding adjusted time errors Errors. | ||||
|     ''' | ||||
| 
 | ||||
|     if uncertainty == None or uncertainty == 'None': | ||||
|        quality = 4 | ||||
|     else: | ||||
|         if uncertainty <= Errors[0]: | ||||
|             quality = 0 | ||||
|         elif (uncertainty > Errors[0]) and \ | ||||
|              (uncertainty < Errors[1]): | ||||
|             quality = 1 | ||||
|         elif (uncertainty > Errors[1]) and \ | ||||
|              (uncertainty < Errors[2]): | ||||
|             quality = 2 | ||||
|         elif (uncertainty > Errors[2]) and \ | ||||
|              (uncertainty < Errors[3]): | ||||
|             quality = 3 | ||||
|         elif uncertainty > Errors[3]: | ||||
|             quality = 4 | ||||
|         else: | ||||
|             pass | ||||
| 
 | ||||
|     return quality | ||||
| 
 | ||||
| if __name__ == '__main__': | ||||
|     import doctest | ||||
|  | ||||
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