Merge branch 'develop' of ariadne.geophysik.ruhr-uni-bochum.de:/data/git/pylot into develop
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						e0077524f4
					
				@ -863,7 +863,7 @@ def autopickstation(wfstream, pickparam, verbose=False,
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            if Pweight < 4:
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                ax2.plot(arhcf1.getTimeArray(),
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                         arhcf1.getCF() / max(arhcf1.getCF()), 'b', label='CF1')
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                if aicSflag == 1:
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                if aicSflag == 1 and Sweight < 4:
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                    ax2.plot(arhcf2.getTimeArray(),
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                             arhcf2.getCF() / max(arhcf2.getCF()), 'm', label='CF2')
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                    ax2.plot(
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@ -980,6 +980,16 @@ def checkZ4S(X, pick, zfac, checkwin, iplot, fig=None):
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    : type:  int
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    '''
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    plt_flag = 0
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    try:
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        iplot = int(iplot)
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    except:
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        if iplot == True or iplot == 'True':
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           iplot = 2
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        else:
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           iplot = 0
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    assert isinstance(X, Stream), "%s is not a stream object" % str(X)
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    print("Check for spuriously picked S onset instead of P onset ...")
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@ -1056,10 +1066,16 @@ def checkZ4S(X, pick, zfac, checkwin, iplot, fig=None):
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            t = np.arange(diff_dict[key], trace.stats.npts / trace.stats.sampling_rate + diff_dict[key],
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                          trace.stats.delta)
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            if i == 0:
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                if fig == None or fig == 'None':
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                    fig = plt.figure()  # self.iplot) ### WHY? MP MP
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                    plt_flag = 1
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                ax1 = fig.add_subplot(3, 1, i + 1)
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                ax = ax1
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                ax.set_title('CheckZ4S, Station %s' % zdat[0].stats.station)
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            else:
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                if fig == None or fig == 'None':
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                    fig = plt.figure()  # self.iplot) ### WHY? MP MP
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                    plt_flag = 1
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                ax = fig.add_subplot(3, 1, i + 1, sharex=ax1)
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            ax.plot(t, abs(trace.data), color='b', label='abs')
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            ax.plot(t, trace.data, color='k')
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@ -1071,6 +1087,10 @@ def checkZ4S(X, pick, zfac, checkwin, iplot, fig=None):
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                       lw=0)
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            ax.legend()
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        ax.set_xlabel('Time [s] since %s' % zdat[0].stats.starttime)
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        if plt_flag == 1:
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            fig.show()
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            raw_input()
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            plt.close(fig)
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    return returnflag
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def getQualityfromUncertainty(uncertainty, Errors):
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