Some cosmetics.
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@ -155,7 +155,7 @@ def fmpicker(Xraw, Xfilt, pickwin, Pick, iplot=None):
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xraw[ipick] = xraw[ipick] - np.mean(xraw[ipick])
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xfilt[ipick] = xfilt[ipick] - np.mean(xfilt[ipick])
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# get next zero crossing after most likely pick
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# get zero crossings after most likely pick
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# initial onset is assumed to be the first zero crossing
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# first from unfiltered trace
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zc1 = []
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@ -199,7 +199,7 @@ def fmpicker(Xraw, Xfilt, pickwin, Pick, iplot=None):
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datafit1 = np.polyval(P1, xslope1)
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# now using filterd trace
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# next zero crossing after most likely pick
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# next zero crossings after most likely pick
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zc2 = []
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zc2.append(Pick)
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index2 = []
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@ -578,11 +578,11 @@ def checksignallength(X, pick, TSNR, minsiglength, nfac, minpercent, iplot):
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if iplot == 2:
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plt.figure(iplot)
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p1, = plt.plot(t,x, 'k')
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p2, = plt.plot(t[inoise], e[inoise])
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p2, = plt.plot(t[inoise], e[inoise], 'c')
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p3, = plt.plot(t[isignal],e[isignal], 'r')
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p4, = plt.plot([t[isignal[0]], t[isignal[len(isignal)-1]]], \
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[minsiglevel, minsiglevel], 'g')
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p5, = plt.plot([pick, pick], [min(x), max(x)], 'c')
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p5, = plt.plot([pick, pick], [min(x), max(x)], linewidth=2)
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plt.legend([p1, p2, p3, p4, p5], ['Data', 'Envelope Noise Window', \
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'Envelope Signal Window', 'Minimum Signal Level', \
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'Onset'], loc='best')
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