[minor] some updates
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819e4d7076
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@ -1 +1 @@
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60a2-dirty
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819e-dirty
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@ -255,10 +255,15 @@ def picksdict_from_picks(evt):
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lpp = mpp + pick.time_errors.upper_uncertainty
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lpp = mpp + pick.time_errors.upper_uncertainty
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epp = mpp - pick.time_errors.lower_uncertainty
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epp = mpp - pick.time_errors.lower_uncertainty
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except TypeError as e:
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except TypeError as e:
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msg = e + ',\n falling back to symmetric uncertainties'
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if not spe:
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msg = 'No uncertainties found for pick: {}. Uncertainty set to 0'.format(pick)
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lpp = mpp
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epp = mpp
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else:
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msg = str(e) + ',\n falling back to symmetric uncertainties'
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lpp = mpp + spe
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epp = mpp - spe
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warnings.warn(msg)
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warnings.warn(msg)
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lpp = mpp + spe
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epp = mpp - spe
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phase['mpp'] = mpp
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phase['mpp'] = mpp
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phase['epp'] = epp
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phase['epp'] = epp
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phase['lpp'] = lpp
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phase['lpp'] = lpp
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@ -987,6 +987,7 @@ class PylotCanvas(FigureCanvas):
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times = [time for index, time in enumerate(time_ax) if not index % nth_sample]
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times = [time for index, time in enumerate(time_ax) if not index % nth_sample]
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data = [datum + n for index, datum in enumerate(trace.data) if not index % nth_sample]
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data = [datum + n for index, datum in enumerate(trace.data) if not index % nth_sample]
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ax.axhline(n, color="0.5", lw=0.5)
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ax.plot(times, data, color=linecolor, linewidth=0.7)
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ax.plot(times, data, color=linecolor, linewidth=0.7)
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if noiselevel is not None:
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if noiselevel is not None:
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for level in [-noiselevel[channel], noiselevel[channel]]:
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for level in [-noiselevel[channel], noiselevel[channel]]:
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