changed plot traces for presentation (SNR, _drawStream etc.)
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@ -588,6 +588,23 @@ class SeismicShot(object):
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# plt.plot(self.getDistArray4ttcPlot(), pickwindowarray_lowerb, ':k')
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# plt.plot(self.getDistArray4ttcPlot(), pickwindowarray_lowerb, ':k')
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# plt.plot(self.getDistArray4ttcPlot(), pickwindowarray_upperb, ':k')
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# plt.plot(self.getDistArray4ttcPlot(), pickwindowarray_upperb, ':k')
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def plotTrace(self, traceID, plotSNR = True, lw = 1):
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fig = plt.figure()
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ax = fig.add_subplot(111)
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ax = self._drawStream(traceID, ax = ax)
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tgap = self.getTgap()
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tsignal = self.getTsignal()
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pick = self.getPick(traceID)
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tnoise = pick - tgap
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snr, snrdb, noiselevel = self.getSNR(traceID)
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ax.plot([0, tnoise], [noiselevel, noiselevel], 'm', linewidth = lw, label = 'noise level')
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ax.plot([tnoise, pick], [noiselevel, noiselevel], 'g:', linewidth = lw, label = 'gap')
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ax.plot([tnoise + tgap, pick + tsignal], [noiselevel * snr, noiselevel * snr], 'b', linewidth = lw, label = 'signal level')
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ax.legend()
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ax.text(0.05, 0.95, 'SNR: %s' %snr, transform = ax.transAxes)
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def plot_traces(self, traceID, folm = 0.6): ########## 2D, muss noch mehr verbessert werden ##########
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def plot_traces(self, traceID, folm = 0.6): ########## 2D, muss noch mehr verbessert werden ##########
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from matplotlib.widgets import Button
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from matplotlib.widgets import Button
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@ -621,7 +638,7 @@ class SeismicShot(object):
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self._drawStream(traceID)
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self._drawStream(traceID)
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self._drawCFs(traceID, folm)
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self._drawCFs(traceID, folm)
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def _drawStream(self, traceID, refresh = False):
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def _drawStream(self, traceID, refresh = False, ax = None):
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from pylot.core.util.utils import getGlobalTimes
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from pylot.core.util.utils import getGlobalTimes
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from pylot.core.util.utils import prepTimeAxis
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from pylot.core.util.utils import prepTimeAxis
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@ -630,6 +647,7 @@ class SeismicShot(object):
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timeaxis = prepTimeAxis(stime, stream[0])
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timeaxis = prepTimeAxis(stime, stream[0])
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timeaxis -= stime
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timeaxis -= stime
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if ax is None:
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ax = self.traces4plot[traceID]['ax1']
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ax = self.traces4plot[traceID]['ax1']
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if refresh == True:
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if refresh == True:
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@ -647,6 +665,7 @@ class SeismicShot(object):
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max(stream[0].data)],
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max(stream[0].data)],
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'r', label = 'most likely')
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'r', label = 'most likely')
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ax.legend()
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ax.legend()
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return ax
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def _drawCFs(self, traceID, folm, refresh = False):
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def _drawCFs(self, traceID, folm, refresh = False):
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hoscf = self.getHOScf(traceID)
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hoscf = self.getHOScf(traceID)
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@ -745,11 +764,12 @@ class SeismicShot(object):
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:type: 'logical'
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:type: 'logical'
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'''
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'''
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from scipy.interpolate import griddata
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from scipy.interpolate import griddata
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from matplotlib import cm
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cmap = cm.jet
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x = []; xcut = []
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x = []; xcut = []
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y = []; ycut = []
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y = []; ycut = []
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z = []; zcut = []
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z = []; zcut = []
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tmin, tmax = self.getCut()
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for traceID in self.pick.keys():
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for traceID in self.pick.keys():
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if self.getFlag(traceID) != 0:
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if self.getFlag(traceID) != 0:
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@ -761,6 +781,9 @@ class SeismicShot(object):
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ycut.append(self.getRecLoc(traceID)[1])
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ycut.append(self.getRecLoc(traceID)[1])
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zcut.append(self.getPickIncludeRemoved(traceID))
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zcut.append(self.getPickIncludeRemoved(traceID))
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tmin = 0.8 * min(z) # 20% cushion for colorbar
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tmax = 1.2 * max(z)
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xaxis = np.arange(min(x), max(x), step)
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xaxis = np.arange(min(x), max(x), step)
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yaxis = np.arange(min(y), max(y), step)
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yaxis = np.arange(min(y), max(y), step)
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xgrid, ygrid = np.meshgrid(xaxis, yaxis)
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xgrid, ygrid = np.meshgrid(xaxis, yaxis)
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@ -770,19 +793,28 @@ class SeismicShot(object):
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fig = plt.figure()
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fig = plt.figure()
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ax = plt.axes()
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ax = plt.axes()
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ax.matshow(zgrid, extent = [min(x), max(x), min(y), max(y)], origin = 'lower')
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count = 0
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ax.imshow(zgrid, extent = [min(x), max(x), min(y), max(y)], vmin = tmin, vmax = tmax, cmap = cmap, origin = 'lower', alpha = 0.85)
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plt.text(0.45, 0.9, 'shot: %s' %self.getShotnumber(), transform = ax.transAxes)
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plt.text(0.45, 0.9, 'shot: %s' %self.getShotnumber(), transform = ax.transAxes)
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sc = ax.scatter(x, y, c = z, s = 30, label = 'picked shots', vmin = tmin, vmax = tmax, linewidths = 1.5)
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sc = ax.scatter(x, y, c = z, s = 30, label = 'picked shots', vmin = tmin, vmax = tmax, cmap = cmap, linewidths = 1.5)
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sccut = ax.scatter(xcut, ycut, c = zcut, s = 30, edgecolor = 'm', label = 'cut out shots', vmin = tmin, vmax = tmax, linewidths = 1.5)
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for xyz in zip(xcut, ycut, zcut):
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x, y, z = xyz
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label = None
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if z > tmax:
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count += 1
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z = 'w'
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if count == 1:
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label = 'cut out shots'
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ax.scatter(x, y, c = z, s = 30, edgecolor = 'm', label = label, vmin = tmin, vmax = tmax, cmap = cmap, linewidths = 1.5)
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if colorbar == True:
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if colorbar == True:
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plt.colorbar(sc)
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cbar = plt.colorbar(sc)
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cbar.set_label('Time [s]')
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ax.legend()
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ax.set_xlabel('X')
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ax.set_xlabel('X')
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ax.set_ylabel('Y')
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ax.set_ylabel('Y')
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ax.plot(self.getSrcLoc()[0], self.getSrcLoc()[1],'*k', markersize = 15) # plot source location
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ax.plot(self.getSrcLoc()[0], self.getSrcLoc()[1],'*k', markersize = 15) # plot source location
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if plotRec == True:
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ax.scatter(x, y, c = z, s = 30)
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if annotations == True:
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if annotations == True:
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for traceID in self.getTraceIDlist():
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for traceID in self.getTraceIDlist():
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if self.getFlag(traceID) is not 0:
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if self.getFlag(traceID) is not 0:
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