marcel/pylot
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Merge branch 'develop' of ariadne:/data/git/pylot into develop

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This commit is contained in:
Marcel Paffrath 2017-06-02 11:52:39 +02:00
commit f7af1d0b1b
3 changed files with 30 additions and 15 deletions
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26
autoPyLoT.py
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@ -357,8 +357,15 @@ if __name__ == "__main__":
# parse arguments
parser = argparse.ArgumentParser(
description='''autoPyLoT automatically picks phase onset times using higher order statistics,
autoregressive prediction and AIC''')
autoregressive prediction and AIC followed by locating the seismic events using
NLLoc''')
#parser.add_argument('-d', '-D', '--input_dict', type=str,
# action='store',
# help='''optional, dictionary containing processing parameters''')
#parser.add_argument('-p', '-P', '--parameter', type=str,
# action='store',
# help='''parameter file, default=None''')
parser.add_argument('-i', '-I', '--inputfile', type=str,
action='store',
help='''full path to the file containing the input
@ -369,17 +376,18 @@ if __name__ == "__main__":
parser.add_argument('-e', '-E', '--eventid', type=str,
action='store',
help='''optional, event path incl. event ID''')
# parser.add_argument('-p', '-P', '--plot', action='store',
# help='show interactive plots')
parser.add_argument('-s', '-S', '--spath', type=str,
action='store',
help='''optional, save path for autoPyLoT output''')
parser.add_argument('-v', '-V', '--version', action='version',
version='autoPyLoT ' + __version__,
help='show version information and exit')
#parser.add_argument('-v', '-V', '--version', action='version',
# version='autoPyLoT ' + __version__,
# help='show version information and exit')
cla = parser.parse_args()
picks, mainFig = autoPyLoT(inputfile=str(cla.inputfile),
fnames=str(cla.fnames), eventid=str(cla.eventid),
savepath=str(cla.spath))
try:
picks, mainFig = autoPyLoT(inputfile=str(cla.inputfile), fnames=str(cla.fnames),
eventid=str(cla.eventid), savepath=str(cla.spath))
except ValueError:
print("autoPyLoT was running in production mode.")

3
pylot/core/io/data.py
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@ -5,6 +5,7 @@ import copy
import os
from obspy import read_events
from obspy.core import read, Stream, UTCDateTime
from obspy.io.sac import SacIOError
from obspy.core.event import Event
from pylot.core.io.phases import readPILOTEvent, picks_from_picksdict, \
picksdict_from_pilot, merge_picks
@ -230,6 +231,8 @@ class Data(object):
self.wfdata += read(fname, format='GSE2')
except Exception as e:
warnmsg += '{0}\n{1}\n'.format(fname, e)
except SacIOError as se:
warnmsg += '{0}\n{1}\n'.format(fname, se)
if warnmsg:
warnmsg = 'WARNING: unable to read\n' + warnmsg
print(warnmsg)

14
pylot/core/pick/picker.py
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@ -241,8 +241,12 @@ class AICPicker(AutoPicker):
ax.set_title(self.Data[0].stats.station)
return
islope = islope[0][0:imax]
dataslope = self.Data[0].data[islope]
iislope = islope[0][0:imax]
if len(iislope) <= 3:
# calculate slope from initial onset to maximum of AIC function
imax = np.argmax(aicsmooth[islope])
iislope = islope[0][0:imax]
dataslope = self.Data[0].data[iislope]
# calculate slope as polynomal fit of order 1
xslope = np.arange(0, len(dataslope), 1)
P = np.polyfit(xslope, dataslope, 1)
@ -276,12 +280,12 @@ class AICPicker(AutoPicker):
ax2.plot(self.Tcf, x, 'k', label='Data')
ax1.axvspan(self.Tcf[inoise[0]],self.Tcf[inoise[-1]], color='y', alpha=0.2, lw=0, label='Noise Window')
ax1.axvspan(self.Tcf[isignal[0]],self.Tcf[isignal[-1]], color='b', alpha=0.2, lw=0, label='Signal Window')
ax1.axvspan(self.Tcf[islope[0]],self.Tcf[islope[-1]], color='g', alpha=0.2, lw=0, label='Slope Window')
ax1.axvspan(self.Tcf[iislope[0]],self.Tcf[iislope[-1]], color='g', alpha=0.2, lw=0, label='Slope Window')
ax2.axvspan(self.Tcf[inoise[0]],self.Tcf[inoise[-1]], color='y', alpha=0.2, lw=0, label='Noise Window')
ax2.axvspan(self.Tcf[isignal[0]],self.Tcf[isignal[-1]], color='b', alpha=0.2, lw=0, label='Signal Window')
ax2.axvspan(self.Tcf[islope[0]],self.Tcf[islope[-1]], color='g', alpha=0.2, lw=0, label='Slope Window')
ax2.plot(self.Tcf[islope], datafit, 'g', linewidth=2, label='Slope')
ax2.axvspan(self.Tcf[iislope[0]],self.Tcf[iislope[-1]], color='g', alpha=0.2, lw=0, label='Slope Window')
ax2.plot(self.Tcf[iislope], datafit, 'g', linewidth=2, label='Slope')
ax1.set_title('Station %s, SNR=%7.2f, Slope= %12.2f counts/s' % (self.Data[0].stats.station,
self.SNR, self.slope))