improved wadati plot
added names of stations, added lines indicating wadati tolerance
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@ -589,6 +589,7 @@ def wadaticheck(pickdic, dttolerance, iplot=0, fig_dict=None):
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Ppicks = []
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Ppicks = []
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Spicks = []
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Spicks = []
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SPtimes = []
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SPtimes = []
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stations = []
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for key in list(pickdic.keys()):
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for key in list(pickdic.keys()):
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if pickdic[key]['P']['weight'] < 4 and pickdic[key]['S']['weight'] < 4:
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if pickdic[key]['P']['weight'] < 4 and pickdic[key]['S']['weight'] < 4:
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# calculate S-P time
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# calculate S-P time
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@ -622,6 +623,7 @@ def wadaticheck(pickdic, dttolerance, iplot=0, fig_dict=None):
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ibad = 0
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ibad = 0
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for key in list(pickdic.keys()):
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for key in list(pickdic.keys()):
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if 'SPt' in pickdic[key]:
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if 'SPt' in pickdic[key]:
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stations.append(key)
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wddiff = abs(pickdic[key]['SPt'] - wdfit[ii])
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wddiff = abs(pickdic[key]['SPt'] - wdfit[ii])
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ii += 1
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ii += 1
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# check, if deviation is larger than adjusted
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# check, if deviation is larger than adjusted
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@ -682,12 +684,18 @@ def wadaticheck(pickdic, dttolerance, iplot=0, fig_dict=None):
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linecolor = 'k'
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linecolor = 'k'
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plt_flag = 1
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plt_flag = 1
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ax = fig.add_subplot(111)
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ax = fig.add_subplot(111)
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if ibad > 0:
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ax.plot(Ppicks, SPtimes, 'ro', label='Skipped S-Picks')
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ax.plot(Ppicks, SPtimes, 'ro', label='Skipped S-Picks')
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if wfitflag == 0:
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if wfitflag == 0:
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ax.plot(Ppicks, wdfit, color=linecolor, linewidth=0.7, label='Wadati 1')
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ax.plot(Ppicks, wdfit, color=linecolor, linewidth=0.7, label='Wadati 1')
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ax.plot(Ppicks, wdfit+dttolerance, color='0.9', linewidth=0.5, label='Wadati 1 Tolerance')
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ax.plot(Ppicks, wdfit-dttolerance, color='0.9', linewidth=0.5)
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ax.plot(checkedPpicks, wdfit2, 'g', label='Wadati 2')
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ax.plot(checkedPpicks, checkedSPtimes, color=linecolor,
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ax.plot(checkedPpicks, checkedSPtimes, color=linecolor,
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linewidth=0, marker='o', label='Reliable S-Picks')
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linewidth=0, marker='o', label='Reliable S-Picks')
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ax.plot(checkedPpicks, wdfit2, 'g', label='Wadati 2')
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for Ppick, SPtime, station in zip(Ppicks, SPtimes, stations):
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ax.text(Ppick, SPtime + 0.01, '{0}'.format(station))
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ax.set_title('Wadati-Diagram, %d S-P Times, Vp/Vs(raw)=%5.2f,' \
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ax.set_title('Wadati-Diagram, %d S-P Times, Vp/Vs(raw)=%5.2f,' \
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'Vp/Vs(checked)=%5.2f' % (len(SPtimes), vpvsr, cvpvsr))
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'Vp/Vs(checked)=%5.2f' % (len(SPtimes), vpvsr, cvpvsr))
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ax.legend(loc=1, numpoints=1)
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ax.legend(loc=1, numpoints=1)
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