def get_LBz(day):
from obspy.clients.earthworm import Client
from obspy import UTCDateTime
from obspy import Stream
year1 = 2014
month1 = 11
day1 = 24
hour1 = 0
minute1 = 0
second1 = 0
num = 6
#%% LB01
try:
sta = 'LB01' # STATION LB01
cha = 'HHZ' # CHANNEL - Vertical
net = 'Z4' # Santiaguito volcano
loc = '' # location, it depends mostly of which network you are in.
client = Client(
'138.253.112.23',
16022) # ip, port - ip's 138.253.113.19 or 138.253.112.23
t0 = UTCDateTime(year1, month1, day1, hour1, minute1,
second1) #the format is year:day_of_the_year:month
t1 = t0 + day * 24 * 60 * 60
t2 = t1 + 23 * 60 * 60 + 59 * 60 + 59.999 #UTCDateTime(year2, month2, day2, hour2, minute2, second2) # notice we have here 10 minutes, but we can select our times.
st1 = Stream()
st1 = client.get_waveforms(net, sta, '', cha, t1, t2)
# st is a stream, we can operate normally as in obspy
st1.detrend(type='linear')
st1.detrend(type='demean')
break_test = st1
break_test = break_test[0].filter("bandpass", freqmin=1, freqmax=10)
sorted_data = st1.copy()
sorted_data = abs(sorted_data[0].data)
sorted_data.sort()
mid_dat = sorted_data[int(len(sorted_data) / 2)]
if sum(abs(st1[0].data)
) < 10 or st1[0].stats.npts < 7920000 or mid_dat < 0.1:
sta = 'LB01' # STATION LB01
cha = 'HHZ' # CHANNEL - Vertical
net = 'Z4' # Santiaguito volcano
loc = '' # location, it depends mostly of which network you are in.
client = Client(
'138.253.113.19',
16022) # ip, port - ip's 138.253.113.19 or 138.253.112.23
t0 = UTCDateTime(
year1, month1, day1, hour1, minute1,
second1) #the format is year:day_of_the_year:month
t1 = t0
t2 = t1 + 2 #UTCDateTime(year2, month2, day2, hour2, minute2, second2) # notice we have here 10 minutes, but we can select our times.
st1 = Stream()
st1 = client.get_waveforms(net, sta, '', cha, t1, t2)
st1.detrend(type='linear')
st1.detrend(type='demean')
st1[0].filter("bandpass", freqmin=0.1, freqmax=0.1)
num = num - 1
except: # give 2 seconds of data instead
sta = 'LB01' # STATION LB01
cha = 'HHZ' # CHANNEL - Vertical
net = 'Z4' # Santiaguito volcano
loc = '' # location, it depends mostly of which network you are in.
client = Client(
'138.253.113.19',
16022) # ip, port - ip's 138.253.113.19 or 138.253.112.23
t0 = UTCDateTime(year1, month1, day1, hour1, minute1,
second1) #the format is year:day_of_the_year:month
t1 = t0
t2 = t1 + 2 #UTCDateTime(year2, month2, day2, hour2, minute2, second2) # notice we have here 10 minutes, but we can select our times.
st1 = Stream()
st1 = client.get_waveforms(net, sta, '', cha, t1, t2)
st1.detrend(type='linear')
st1.detrend(type='demean')
st1[0].filter("bandpass", freqmin=0.1, freqmax=0.1)
num = num - 1
#%% LB02
try:
sta = 'LB02' # STATION LB01
cha = 'HHZ' # CHANNEL - Vertical
net = 'Z4' # Santiaguito volcano
loc = '' # location, it depends mostly of which network you are in.
client = Client(
'138.253.112.23',
16022) # ip, port - ip's 138.253.113.19 or 138.253.112.23
t0 = UTCDateTime(year1, month1, day1, hour1, minute1,
second1) #the format is year:day_of_the_year:month
t1 = t0 + day * 24 * 60 * 60
t2 = t1 + 23 * 60 * 60 + 59 * 60 + 59.999 #UTCDateTime(year2, month2, day2, hour2, minute2, second2) # notice we have here 10 minutes, but we can select our times.
st2 = Stream()
st2 = client.get_waveforms(net, sta, '', cha, t1, t2)
# st is a stream, we can operate normally as in obspy
st2.detrend(type='linear')
st2.detrend(type='demean')
break_test = st2
break_test = break_test[0].filter("bandpass", freqmin=1, freqmax=10)
sorted_data = st2.copy()
sorted_data = abs(sorted_data[0].data)
sorted_data.sort()
mid_dat = sorted_data[int(len(sorted_data) / 2)]
if sum(abs(st2[0].data)
) < 10 or st2[0].stats.npts < 7920000 or mid_dat < 0.1:
sta = 'LB01' # STATION LB01
cha = 'HHZ' # CHANNEL - Vertical
net = 'Z4' # Santiaguito volcano
loc = '' # location, it depends mostly of which network you are in.
client = Client(
'138.253.113.19',
16022) # ip, port - ip's 138.253.113.19 or 138.253.112.23
t0 = UTCDateTime(
year1, month1, day1, hour1, minute1,
second1) #the format is year:day_of_the_year:month
t1 = t0
t2 = t1 + 2 #UTCDateTime(year2, month2, day2, hour2, minute2, second2) # notice we have here 10 minutes, but we can select our times.
st2 = Stream()
st2 = client.get_waveforms(net, sta, '', cha, t1, t2)
st2.detrend(type='linear')
st2.detrend(type='demean')
st2[0].filter("bandpass", freqmin=0.1, freqmax=0.1)
num = num - 1
except: # give 2 seconds of data instead
sta = 'LB01' # STATION LB01
cha = 'HHZ' # CHANNEL - Vertical
net = 'Z4' # Santiaguito volcano
loc = '' # location, it depends mostly of which network you are in.
client = Client(
'138.253.113.19',
16022) # ip, port - ip's 138.253.113.19 or 138.253.112.23
t0 = UTCDateTime(year1, month1, day1, hour1, minute1,
second1) #the format is year:day_of_the_year:month
t1 = t0
t2 = t1 + 2 #UTCDateTime(year2, month2, day2, hour2, minute2, second2) # notice we have here 10 minutes, but we can select our times.
st2 = Stream()
st2 = client.get_waveforms(net, sta, '', cha, t1, t2)
st2.detrend(type='linear')
st2.detrend(type='demean')
st2[0].filter("bandpass", freqmin=0.1, freqmax=0.1)
num = num - 1
#%% LB03
try:
sta = 'LB03' # STATION LB01
cha = 'HHZ' # CHANNEL - Vertical
net = 'Z4' # Santiaguito volcano
loc = '' # location, it depends mostly of which network you are in.
client = Client(
'138.253.112.23',
16022) # ip, port - ip's 138.253.113.19 or 138.253.112.23
t0 = UTCDateTime(year1, month1, day1, hour1, minute1,
second1) #the format is year:day_of_the_year:month
t1 = t0 + day * 24 * 60 * 60
t2 = t1 + 23 * 60 * 60 + 59 * 60 + 59.999 #UTCDateTime(year2, month2, day2, hour2, minute2, second2) # notice we have here 10 minutes, but we can select our times.
st3 = Stream()
st3 = client.get_waveforms(net, sta, '', cha, t1, t2)
# st is a stream, we can operate normally as in obspy
st3.detrend(type='linear')
st3.detrend(type='demean')
break_test = st3
break_test = break_test[0].filter("bandpass", freqmin=1, freqmax=10)
sorted_data = st3.copy()
sorted_data = abs(sorted_data[0].data)
sorted_data.sort()
mid_dat = sorted_data[int(len(sorted_data) / 2)]
if sum(abs(st3[0].data)
) < 10 or st3[0].stats.npts < 7920000 or mid_dat < 0.1:
sta = 'LB01' # STATION LB01
cha = 'HHZ' # CHANNEL - Vertical
net = 'Z4' # Santiaguito volcano
loc = '' # location, it depends mostly of which network you are in.
client = Client(
'138.253.113.19',
16022) # ip, port - ip's 138.253.113.19 or 138.253.112.23
t0 = UTCDateTime(
year1, month1, day1, hour1, minute1,
second1) #the format is year:day_of_the_year:month
t1 = t0
t2 = t1 + 2 #UTCDateTime(year2, month2, day2, hour2, minute2, second2) # notice we have here 10 minutes, but we can select our times.
st3 = Stream()
st3 = client.get_waveforms(net, sta, '', cha, t1, t2)
st3.detrend(type='linear')
st3.detrend(type='demean')
st3[0].filter("bandpass", freqmin=0.1, freqmax=0.1)
num = num - 1
except: # give 2 seconds of data instead
sta = 'LB01' # STATION LB01
cha = 'HHZ' # CHANNEL - Vertical
net = 'Z4' # Santiaguito volcano
loc = '' # location, it depends mostly of which network you are in.
client = Client(
'138.253.113.19',
16022) # ip, port - ip's 138.253.113.19 or 138.253.112.23
t0 = UTCDateTime(year1, month1, day1, hour1, minute1,
second1) #the format is year:day_of_the_year:month
t1 = t0
t2 = t1 + 2 #UTCDateTime(year2, month2, day2, hour2, minute2, second2) # notice we have here 10 minutes, but we can select our times.
st3 = Stream()
st3 = client.get_waveforms(net, sta, '', cha, t1, t2)
st3.detrend(type='linear')
st3.detrend(type='demean')
st3[0].filter("bandpass", freqmin=0.1, freqmax=0.1)
num = num - 1
#%% LB04
try:
sta = 'LB04' # STATION LB01
cha = 'HHZ' # CHANNEL - Vertical
net = 'Z4' # Santiaguito volcano
loc = '' # location, it depends mostly of which network you are in.
client = Client(
'138.253.112.23',
16022) # ip, port - ip's 138.253.113.19 or 138.253.112.23
t0 = UTCDateTime(year1, month1, day1, hour1, minute1,
second1) #the format is year:day_of_the_year:month
t1 = t0 + day * 24 * 60 * 60
t2 = t1 + 23 * 60 * 60 + 59 * 60 + 59.999 #UTCDateTime(year2, month2, day2, hour2, minute2, second2) # notice we have here 10 minutes, but we can select our times.
st4 = Stream()
st4 = client.get_waveforms(net, sta, '', cha, t1, t2)
# st is a stream, we can operate normally as in obspy
st4.detrend(type='linear')
st4.detrend(type='demean')
break_test = st4
break_test = break_test[0].filter("bandpass", freqmin=1, freqmax=10)
sorted_data = st4.copy()
sorted_data = abs(sorted_data[0].data)
sorted_data.sort()
mid_dat = sorted_data[int(len(sorted_data) / 2)]
if sum(abs(st4[0].data)
) < 10 or st4[0].stats.npts < 7920000 or mid_dat < 0.1:
sta = 'LB01' # STATION LB01
cha = 'HHZ' # CHANNEL - Vertical
net = 'Z4' # Santiaguito volcano
loc = '' # location, it depends mostly of which network you are in.
client = Client(
'138.253.113.19',
16022) # ip, port - ip's 138.253.113.19 or 138.253.112.23
t0 = UTCDateTime(
year1, month1, day1, hour1, minute1,
second1) #the format is year:day_of_the_year:month
t1 = t0
t2 = t1 + 2 #UTCDateTime(year2, month2, day2, hour2, minute2, second2) # notice we have here 10 minutes, but we can select our times.
st4 = Stream()
st4 = client.get_waveforms(net, sta, '', cha, t1, t2)
st4.detrend(type='linear')
st4.detrend(type='demean')
st4[0].filter("bandpass", freqmin=0.1, freqmax=0.1)
num = num - 1
except: # give 2 seconds of data instead
sta = 'LB01' # STATION LB01
cha = 'HHZ' # CHANNEL - Vertical
net = 'Z4' # Santiaguito volcano
loc = '' # location, it depends mostly of which network you are in.
client = Client(
'138.253.113.19',
16022) # ip, port - ip's 138.253.113.19 or 138.253.112.23
t0 = UTCDateTime(year1, month1, day1, hour1, minute1,
second1) #the format is year:day_of_the_year:month
t1 = t0
t2 = t1 + 2 #UTCDateTime(year2, month2, day2, hour2, minute2, second2) # notice we have here 10 minutes, but we can select our times.
st4 = Stream()
st4 = client.get_waveforms(net, sta, '', cha, t1, t2)
st4.detrend(type='linear')
st4.detrend(type='demean')
st4[0].filter("bandpass", freqmin=0.1, freqmax=0.1)
num = num - 1
#%% LB05
try:
sta = 'LB05' # STATION LB01
cha = 'HHZ' # CHANNEL - Vertical
net = 'Z4' # Santiaguito volcano
loc = '' # location, it depends mostly of which network you are in.
client = Client(
'138.253.112.23',
16022) # ip, port - ip's 138.253.113.19 or 138.253.112.23
t0 = UTCDateTime(year1, month1, day1, hour1, minute1,
second1) #the format is year:day_of_the_year:month
t1 = t0 + day * 24 * 60 * 60
t2 = t1 + 23 * 60 * 60 + 59 * 60 + 59.999 #UTCDateTime(year2, month2, day2, hour2, minute2, second2) # notice we have here 10 minutes, but we can select our times.
st5 = Stream()
st5 = client.get_waveforms(net, sta, '', cha, t1, t2)
# st is a stream, we can operate normally as in obspy
st5.detrend(type='linear')
st5.detrend(type='demean')
break_test = st5
break_test = break_test[0].filter("bandpass", freqmin=1, freqmax=10)
sorted_data = st5.copy()
sorted_data = abs(sorted_data[0].data)
sorted_data.sort()
mid_dat = sorted_data[int(len(sorted_data) / 2)]
if sum(abs(st5[0].data)
) < 10 or st5[0].stats.npts < 7920000 or mid_dat < 0.1:
sta = 'LB01' # STATION LB01
cha = 'HHZ' # CHANNEL - Vertical
net = 'Z4' # Santiaguito volcano
loc = '' # location, it depends mostly of which network you are in.
client = Client(
'138.253.113.19',
16022) # ip, port - ip's 138.253.113.19 or 138.253.112.23
t0 = UTCDateTime(
year1, month1, day1, hour1, minute1,
second1) #the format is year:day_of_the_year:month
t1 = t0
t2 = t1 + 2 #UTCDateTime(year2, month2, day2, hour2, minute2, second2) # notice we have here 10 minutes, but we can select our times.
st5 = Stream()
st5 = client.get_waveforms(net, sta, '', cha, t1, t2)
st5.detrend(type='linear')
st5.detrend(type='demean')
st5[0].filter("bandpass", freqmin=0.1, freqmax=0.1)
num = num - 1
except: # give 2 seconds of data instead
sta = 'LB01' # STATION LB01
cha = 'HHZ' # CHANNEL - Vertical
net = 'Z4' # Santiaguito volcano
loc = '' # location, it depends mostly of which network you are in.
client = Client(
'138.253.113.19',
16022) # ip, port - ip's 138.253.113.19 or 138.253.112.23
t0 = UTCDateTime(year1, month1, day1, hour1, minute1,
second1) #the format is year:day_of_the_year:month
t1 = t0
t2 = t1 + 2 #UTCDateTime(year2, month2, day2, hour2, minute2, second2) # notice we have here 10 minutes, but we can select our times.
st5 = Stream()
st5 = client.get_waveforms(net, sta, '', cha, t1, t2)
st5.detrend(type='linear')
st5.detrend(type='demean')
st5[0].filter("bandpass", freqmin=0.1, freqmax=0.1)
num = num - 1
#%% LB06
try:
sta = 'LB06' # STATION LB01
cha = 'HHZ' # CHANNEL - Vertical
net = 'Z4' # Santiaguito volcano
loc = '' # location, it depends mostly of which network you are in.
client = Client(
'138.253.112.23',
16022) # ip, port - ip's 138.253.113.19 or 138.253.112.23
t0 = UTCDateTime(year1, month1, day1, hour1, minute1,
second1) #the format is year:day_of_the_year:month
t1 = t0 + day * 24 * 60 * 60
t2 = t1 + 23 * 60 * 60 + 59 * 60 + 59.999 #UTCDateTime(year2, month2, day2, hour2, minute2, second2) # notice we have here 10 minutes, but we can select our times.
st6 = Stream()
st6 = client.get_waveforms(net, sta, '', cha, t1, t2)
# st is a stream, we can operate normally as in obspy
st6.detrend(type='linear')
st6.detrend(type='demean')
break_test = st6
break_test = break_test[0].filter("bandpass", freqmin=1, freqmax=10)
sorted_data = st6.copy()
sorted_data = abs(sorted_data[0].data)
sorted_data.sort()
mid_dat = sorted_data[int(len(sorted_data) / 2)]
if sum(abs(st6[0].data)
) < 10 or st6[0].stats.npts < 7920000 or mid_dat < 0.1:
sta = 'LB01' # STATION LB01
cha = 'HHZ' # CHANNEL - Vertical
net = 'Z4' # Santiaguito volcano
loc = '' # location, it depends mostly of which network you are in.
client = Client(
'138.253.113.19',
16022) # ip, port - ip's 138.253.113.19 or 138.253.112.23
t0 = UTCDateTime(
year1, month1, day1, hour1, minute1,
second1) #the format is year:day_of_the_year:month
t1 = t0
t2 = t1 + 2 #UTCDateTime(year2, month2, day2, hour2, minute2, second2) # notice we have here 10 minutes, but we can select our times.
st6 = Stream()
st6 = client.get_waveforms(net, sta, '', cha, t1, t2)
st6.detrend(type='linear')
st6.detrend(type='demean')
st6[0].filter("bandpass", freqmin=0.1, freqmax=0.1)
num = num - 1
except: # give 2 seconds of blank data instead
sta = 'LB01' # STATION LB01
cha = 'HHZ' # CHANNEL - Vertical
net = 'Z4' # Santiaguito volcano
loc = '' # location, it depends mostly of which network you are in.
client = Client(
'138.253.113.19',
16022) # ip, port - ip's 138.253.113.19 or 138.253.112.23
t0 = UTCDateTime(year1, month1, day1, hour1, minute1,
second1) #the format is year:day_of_the_year:month
t1 = t0
t2 = t1 + 2 #UTCDateTime(year2, month2, day2, hour2, minute2, second2) # notice we have here 10 minutes, but we can select our times.
st6 = Stream()
st6 = client.get_waveforms(net, sta, '', cha, t1, t2)
st6.detrend(type='linear')
st6.detrend(type='demean')
st6[0].filter("bandpass", freqmin=0.1, freqmax=0.1)
num = num - 1
#%% LB07
# try:
#
# # STATION, CHANNEL (DDF --> 400 Hz), NETWWORK AND LOCATION CODES
# sta = 'LB07' # STATION LB01
# cha = 'HHZ' # CHANNEL - Vertical
# net = 'Z4' # Santiaguito volcano
# loc = '' # location, it depends mostly of which network you are in.
#
# client = Client('138.253.112.23', 16022) # ip, port - ip's 138.253.113.19 or 138.253.112.23
# t0 = UTCDateTime(year1, month1, day1, hour1, minute1, second1) #the format is year:day_of_the_year:month
# t1 = t0 + day*24*60*60
# t2 = t1 + 23*60*60 + 59*60 +59.999 #UTCDateTime(year2, month2, day2, hour2, minute2, second2) # notice we have here 10 minutes, but we can select our times.
# st7 = Stream()
# st7 = client.get_waveforms(net, sta, '', cha, t1 , t2)
#
# # st is a stream, we can operate normally as in obspy
# st7.detrend(type='linear')
# st7.detrend(type='demean')
# break_test=st7
# break_test = break_test[0].filter("bandpass", freqmin=1,freqmax=10)
#
# except: # give 2 seconds of blank data instead
#
# # STATION, CHANNEL (DDF --> 400 Hz), NETWWORK AND LOCATION CODES
# sta = 'LB01' # STATION LB01
# cha = 'HHZ' # CHANNEL - Vertical
# net = 'Z4' # Santiaguito volcano
# loc = '' # location, it depends mostly of which network you are in.
#
# client = Client('138.253.113.19', 16022) # ip, port - ip's 138.253.113.19 or 138.253.112.23
# t0 = UTCDateTime(year1, month1, day1, hour1, minute1, second1) #the format is year:day_of_the_year:month
# t1 = t0
# t2 = t1 + 2 #UTCDateTime(year2, month2, day2, hour2, minute2, second2) # notice we have here 10 minutes, but we can select our times.
# st7 = Stream()
# st7 = client.get_waveforms(net, sta, '', cha, t1 , t2)
#
# st7.detrend(type='linear')
# st7.detrend(type='demean')
# st7[0].filter("bandpass", freqmin=0.1,freqmax=0.1)
# num = num -1
#%% return all stations
return (st1, st2, st3, st4, st5, st6, num) #st7
def grab_data(scnl, T1, T2, fill_value=0):
# scnl = list of station names (eg. ['PS4A.EHZ.AV.--','PVV.EHZ.AV.--','PS1A.EHZ.AV.--'])
# T1 and T2 are start/end obspy UTCDateTimes
# fill_value can be 0 (default), 'latest', or 'interpolate'
#
# returns stream of traces with gaps accounted for
#
# print('{} - {}'.format(T1.strftime('%Y.%m.%d %H:%M:%S'),T2.strftime('%Y.%m.%d %H:%M:%S')))
print('Grabbing data...')
st = Stream()
for sta in scnl:
if sta.split('.')[2] == 'MI':
client = Client(config.winston_address_cnmi,
config.winston_port_cnmi)
else:
client = Client(config.winston_address, config.winston_port)
try:
tr = client.get_waveforms(sta.split('.')[2],
sta.split('.')[0],
sta.split('.')[3],
sta.split('.')[1],
T1,
T2,
cleanup=True)
if len(tr) > 1:
if fill_value == 0 or fill_value == None:
tr.detrend('demean')
tr.taper(max_percentage=0.01)
for sub_trace in tr:
# deal with error when sub-traces have different dtypes
if sub_trace.data.dtype.name != 'int32':
sub_trace.data = sub_trace.data.astype('int32')
if sub_trace.data.dtype != np.dtype('int32'):
sub_trace.data = sub_trace.data.astype('int32')
# deal with rare error when sub-traces have different sample rates
if sub_trace.stats.sampling_rate != np.round(
sub_trace.stats.sampling_rate):
sub_trace.stats.sampling_rate = np.round(
sub_trace.stats.sampling_rate)
print('Merging gappy data...')
tr.merge(fill_value=fill_value)
except:
tr = Stream()
# if no data, create a blank trace for that channel
if not tr:
from obspy import Trace
from numpy import zeros
tr = Trace()
tr.stats['station'] = sta.split('.')[0]
tr.stats['channel'] = sta.split('.')[1]
tr.stats['network'] = sta.split('.')[2]
tr.stats['location'] = sta.split('.')[3]
tr.stats['sampling_rate'] = 100
tr.stats['starttime'] = T1
tr.data = zeros(int((T2 - T1) * tr.stats['sampling_rate']),
dtype='int32')
st += tr
st.trim(T1, T2, pad=0)
print('Detrending data...')
st.detrend('demean')
return st
