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
20
QtPyLoT.py
@ -64,7 +64,7 @@ from pylot.core.io.data import Data
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from pylot.core.io.inputs import FilterOptions, PylotParameter
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from autoPyLoT import autoPyLoT
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from pylot.core.pick.compare import Comparison
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from pylot.core.pick.utils import symmetrize_error
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from pylot.core.pick.utils import symmetrize_error, getQualityfromUncertainty
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from pylot.core.io.phases import picksdict_from_picks
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import pylot.core.loc.nll as nll
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from pylot.core.util.defaults import FILTERDEFAULTS, SetChannelComponents
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@ -1951,13 +1951,19 @@ class MainWindow(QMainWindow):
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}
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stat_picks = self.getPicks(type=picktype)[station]
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stime = self.getStime()
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for phase in stat_picks:
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picks = stat_picks[phase]
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if type(stat_picks[phase]) is not dict and type(stat_picks[phase]) is not AttribDict:
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return
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# get quality classes
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if phase[0] == 'P':
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quality = getQualityfromUncertainty(picks['spe'], self._inputs['timeerrorsP'])
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elif phase[0] == 'S':
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quality = getQualityfromUncertainty(picks['spe'], self._inputs['timeerrorsS'])
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colors = phase_col[phase[0].upper()]
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mpp = picks['mpp'] - stime
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@ -1994,7 +2000,8 @@ class MainWindow(QMainWindow):
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else:
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pw.plot([mpp, mpp], ylims, pen=colors[0], name='{}-Pick (NO PICKERROR)'.format(phase))
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elif picktype == 'auto':
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pw.plot([mpp, mpp], ylims, pen=colors[3])
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if quality < 4:
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pw.plot([mpp, mpp], ylims, pen=colors[3])
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else:
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raise TypeError('Unknown picktype {0}'.format(picktype))
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else:
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@ -2009,9 +2016,10 @@ class MainWindow(QMainWindow):
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else:
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ax.plot([mpp, mpp], ylims, colors[6], label='{}-Pick (NO PICKERROR)'.format(phase))
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elif picktype == 'auto':
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ax.plot(mpp, ylims[1], colors[3],
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mpp, ylims[0], colors[4])
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ax.vlines(mpp, ylims[0], ylims[1], colors[5], linestyles='dotted')
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if quality < 4:
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ax.plot(mpp, ylims[1], colors[3],
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mpp, ylims[0], colors[4])
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ax.vlines(mpp, ylims[0], ylims[1], colors[5], linestyles='dotted')
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else:
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raise TypeError('Unknown picktype {0}'.format(picktype))
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@ -1069,6 +1069,31 @@ def checkZ4S(X, pick, zfac, checkwin, iplot, fig=None):
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ax.set_xlabel('Time [s] since %s' % zdat[0].stats.starttime)
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return returnflag
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def getQualityfromUncertainty(uncertainty, Errors):
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'''Script to transform uncertainty into quality classes 0-4
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regarding adjusted time errors Errors.
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'''
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if uncertainty == None or uncertainty == 'None':
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quality = 4
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else:
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if uncertainty <= Errors[0]:
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quality = 0
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elif (uncertainty > Errors[0]) and \
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(uncertainty < Errors[1]):
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quality = 1
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elif (uncertainty > Errors[1]) and \
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(uncertainty < Errors[2]):
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quality = 2
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elif (uncertainty > Errors[2]) and \
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(uncertainty < Errors[3]):
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quality = 3
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elif uncertainty > Errors[3]:
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quality = 4
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else:
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pass
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return quality
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if __name__ == '__main__':
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import doctest
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