for iev in range(start_itemp, stop_itemp):
inplist = tempinp_dir + str(
iev) + ".??" + "." + "*" + "..???" + "." + "mseed"
print("inplist == ...", inplist)
st.clear()
for filename in glob.glob(inplist):
csize = os.path.getsize(filename)
if csize > 0:
print("filename ..", filename)
st += read(filename)
nst = len(st)
# print nst
print(st.__str__(extended=True))
refT = min([tr.stats.starttime for tr in st])
Tshift = np.empty(nst)
arrP = np.empty(nst)
arrS = np.empty(nst)
origin_time_shift = np.empty(1)
fout1 = tempout_dir + str(iev) + ".ttimes"
fileout = open(fout1, "w+")
for it, tr in enumerate(st):
Tshift[it] = tr.stats.starttime - refT
if Tshift[it] == 0:
# define epicenter closest station
ref_sta = tr.stats.station
# event details
tmp = client.waveform.getWaveform(NET, station, "", CHANNEL, T1 - 180,
T2 + 180, getPAZ=True,
getCoordinates=True)
except Exception, e:
exceptions.append("%s: %s" % (e.__class__.__name__, e))
continue
st.extend(tmp)
num_stations += 1
st.merge(-1)
st.sort()
summary = []
summary.append("#" * 79)
summary.append("######## %s --- %s ########" % (T1, T2))
summary.append("#" * 79)
summary.append(st.__str__(extended=True))
if exceptions:
summary.append("#" * 33 + " Exceptions " + "#" * 33)
summary += exceptions
summary.append("#" * 79)
trig = []
mutt = []
if st:
# preprocessing, backup original data for plotting at end
st.merge(0)
st.detrend("linear")
for tr in st:
tr.data = tr.data * cosTaper(len(tr), 0.01)
#st.simulate(paz_remove="self", paz_simulate=cornFreq2Paz(1.0), remove_sensitivity=False)
st.sort()
tmp = client.waveform.getWaveform(NET, station, "", CHANNEL, T1 - 180,
T2 + 180, getPAZ=True,
getCoordinates=True)
except Exception, e:
exceptions.append("%s: %s" % (e.__class__.__name__, e))
continue
st.extend(tmp)
num_stations += 1
st.merge(-1)
st.sort()
summary = []
summary.append("#" * 79)
summary.append("######## %s --- %s ########" % (T1, T2))
summary.append("#" * 79)
summary.append(st.__str__(extended=True))
if exceptions:
summary.append("#" * 33 + " Exceptions " + "#" * 33)
summary += exceptions
summary.append("#" * 79)
trig = []
mutt = []
if st:
# preprocessing, backup original data for plotting at end
st.merge(0)
st.detrend("linear")
for tr in st:
tr.data = tr.data * cosTaper(len(tr), 0.01)
#st.simulate(paz_remove="self", paz_simulate=cornFreq2Paz(1.0), remove_sensitivity=False)
st.sort()