def test_flinnengdahl(self):
"""
Tests calculation of Flinn-Engdahl region code or name.
"""
client = Client()
# code
result = client.flinnengdahl(lat=-20.5, lon=-100.6, rtype="code")
self.assertEqual(result, 683)
# w/o kwargs
result = client.flinnengdahl(-20.5, -100.6, "code")
self.assertEqual(result, 683)
# region
result = client.flinnengdahl(lat=42, lon=-122.24, rtype="region")
self.assertEqual(result, 'OREGON')
# w/o kwargs
result = client.flinnengdahl(42, -122.24, "region")
self.assertEqual(result, 'OREGON')
# both
result = client.flinnengdahl(lat=-20.5, lon=-100.6, rtype="both")
self.assertEqual(result, (683, 'SOUTHEAST CENTRAL PACIFIC OCEAN'))
# w/o kwargs
result = client.flinnengdahl(-20.5, -100.6, "both")
self.assertEqual(result, (683, 'SOUTHEAST CENTRAL PACIFIC OCEAN'))
# default rtype
result = client.flinnengdahl(lat=42, lon=-122.24)
self.assertEqual(result, (32, 'OREGON'))
# w/o kwargs
# outside boundaries
self.assertRaises(Exception, client.flinnengdahl, lat=-90.1, lon=0)
self.assertRaises(Exception, client.flinnengdahl, lat=90.1, lon=0)
self.assertRaises(Exception, client.flinnengdahl, lat=0, lon=-180.1)
self.assertRaises(Exception, client.flinnengdahl, lat=0, lon=180.1)
def test_sacpz(self):
"""
Fetches SAC poles and zeros information.
"""
client = Client()
# 1
t1 = UTCDateTime("2005-01-01")
t2 = UTCDateTime("2008-01-01")
result = client.sacpz("IU", "ANMO", "00", "BHZ", t1, t2)
# drop lines with creation date (current time during request)
result = result.splitlines()
sacpz_file = os.path.join(self.path, 'data', 'IU.ANMO.00.BHZ.sacpz')
with open(sacpz_file, 'rb') as fp:
expected = fp.read().splitlines()
result.pop(5)
expected.pop(5)
self.assertEqual(result, expected)
# 2 - empty location code
dt = UTCDateTime("2002-11-01")
result = client.sacpz('UW', 'LON', '', 'BHZ', dt)
self.assertIn(b"* STATION (KSTNM): LON", result)
self.assertIn(b"* LOCATION (KHOLE): ", result)
# 3 - empty location code via '--'
result = client.sacpz('UW', 'LON', '--', 'BHZ', dt)
self.assertIn(b"* STATION (KSTNM): LON", result)
self.assertIn(b"* LOCATION (KHOLE): ", result)
def test_timeseries(self):
"""
Tests timeseries Web service interface.
Examples are inspired by https://service.iris.edu/irisws/timeseries/1/.
"""
client = Client()
# 1
t1 = UTCDateTime("2005-001T00:00:00")
t2 = UTCDateTime("2005-001T00:01:00")
# no filter
st1 = client.timeseries("IU", "ANMO", "00", "BHZ", t1, t2)
# instrument corrected
st2 = client.timeseries("IU",
"ANMO",
"00",
"BHZ",
t1,
t2,
filter=["correct"])
# compare results
self.assertEqual(st1[0].stats.starttime, st2[0].stats.starttime)
self.assertEqual(st1[0].stats.endtime, st2[0].stats.endtime)
self.assertEqual(st1[0].data[0], 24)
self.assertAlmostEqual(st2[0].data[0], -2.8373747e-06)
def test_resp(self):
"""
Tests resp Web service interface.
Examples are inspired by https://service.iris.edu/irisws/resp/1/.
"""
client = Client()
# 1
t1 = UTCDateTime("2005-001T00:00:00")
t2 = UTCDateTime("2008-001T00:00:00")
result = client.resp("IU", "ANMO", "00", "BHZ", t1, t2)
self.assertIn(b'B050F03 Station: ANMO', result)
# Exception: No response data available
# 2 - empty location code
# result = client.resp("UW", "LON", "", "EHZ")
# self.assertIn(b'B050F03 Station: LON', result)
# self.assertIn(b'B052F03 Location: ??', result)
# 3 - empty location code via '--'
# result = client.resp("UW", "LON", "--", "EHZ")
# self.assertIn(b'B050F03 Station: LON', result)
# self.assertIn(b'B052F03 Location: ??', result)
# 4
dt = UTCDateTime("2010-02-27T06:30:00.000")
result = client.resp("IU", "ANMO", "*", "*", dt)
self.assertIn(b'B050F03 Station: ANMO', result)
dt = UTCDateTime("2005-001T00:00:00")
result = client.resp("AK", "RIDG", "--", "LH?", dt)
self.assertIn(b'B050F03 Station: RIDG', result)
def test_distaz(self):
"""
Tests distance and azimuth calculation between two points on a sphere.
"""
client = Client()
# normal request
result = client.distaz(stalat=1.1, stalon=1.2, evtlat=3.2, evtlon=1.4)
self.assertAlmostEqual(result['distance'], 2.10256)
self.assertAlmostEqual(result['distancemeters'], 233272.79028)
self.assertAlmostEqual(result['backazimuth'], 5.46944)
self.assertAlmostEqual(result['azimuth'], 185.47695)
self.assertEqual(result['ellipsoidname'], 'WGS84')
self.assertTrue(isinstance(result['distance'], float))
self.assertTrue(isinstance(result['distancemeters'], float))
self.assertTrue(isinstance(result['backazimuth'], float))
self.assertTrue(isinstance(result['azimuth'], float))
self.assertTrue(isinstance(result['ellipsoidname'], str))
# w/o kwargs
result = client.distaz(1.1, 1.2, 3.2, 1.4)
self.assertAlmostEqual(result['distance'], 2.10256)
self.assertAlmostEqual(result['distancemeters'], 233272.79028)
self.assertAlmostEqual(result['backazimuth'], 5.46944)
self.assertAlmostEqual(result['azimuth'], 185.47695)
self.assertEqual(result['ellipsoidname'], 'WGS84')
# missing parameters
self.assertRaises(Exception, client.distaz, stalat=1.1)
self.assertRaises(Exception, client.distaz, 1.1)
self.assertRaises(Exception, client.distaz, stalat=1.1, stalon=1.2)
self.assertRaises(Exception, client.distaz, 1.1, 1.2)
def test_traveltime(self):
"""
Tests calculation of travel-times for seismic phases.
"""
client = Client()
result = client.traveltime(evloc=(-36.122, -72.898),
evdepth=22.9,
staloc=[(-33.45, -70.67), (47.61, -122.33),
(35.69, 139.69)])
self.assertTrue(result.startswith(b'Model: iasp91'))
def rotate_traces(event_code, database):
data_path = f"{database}/{event_code}/synthetics/point_source/"
filelist = glob.glob(f"{data_path}/*MXZ*.sac")
cmt_finite_fault = f"{database}/{event_code}/{event_code}"
cmt_lines = open(cmt_finite_fault).readlines()
for line in cmt_lines:
if line.split()[0] == "latitude":
ev_lat = float(line.split()[1])
elif line.split()[0] == "longitude":
ev_lon = float(line.split()[1])
else:
continue
client = Client()
for Zfile in filelist:
print(Zfile)
Nfile = Zfile.replace("MXZ", "MXN")
Efile = Zfile.replace("MXZ", "MXE")
Rfile = Zfile.replace("MXZ", "MXR")
Tfile = Zfile.replace("MXZ", "MXT")
if os.path.isfile(Nfile) and os.path.isfile(Efile):
st = read(Zfile)
st += read(Nfile)
st += read(Efile)
Ztr = st[0]
st_lat = Ztr.stats["sac"]["stla"]
st_lon = Ztr.stats["sac"]["stlo"]
station = Ztr.stats.station
channel = Ztr.stats.channel
result = client.distaz(stalat=st_lat,
stalon=st_lon,
evtlat=ev_lat,
evtlon=ev_lon)
baz = result["backazimuth"]
az = result["azimuth"]
dist_km = result["distancemeters"] / 1000.0
dist_deg = result["distance"]
print(station, channel, st_lat, st_lon, dist_km, dist_deg, baz, az)
os.system(
f"sac > macro {_lib}/rotate.macro {Nfile} {Efile} {baz} {Rfile} {Tfile}"
)
Rtr = read(Rfile)[0]
Rtr.stats["channel"] = "MXR"
Rtr.write(Rfile, format="SAC")
Ttr = read(Tfile)[0]
Ttr.stats["channel"] = "MXT"
Ttr.write(Tfile, format="SAC")
def download_response(network, station, location, channel, start, end,
respfile):
'''
Download instrument response file from IRIS and save to .resp
Input:
network: String with network name
station: String with station name
location: String with location - can have * for wildcards
channel: String with channel - can have * for wildcards
start: String with start date and time: yyy-mm-ddThh:mm.sss
end: String with end date and time: yyy-mm-ddThh:mm.sss
Output:
respfile: Prints instrument response to respfile
'''
from obspy.clients.iris import Client
from obspy import UTCDateTime
# Set up client
client = Client()
# Define start and end date for resp file
startdt = UTCDateTime(start)
enddt = UTCDateTime(end)
# Download resp data
dlstring = 'downloading resp data for network ' + network + ', station ' \
+ station + ', location and channel ' + location + ' ' + channel \
+ ', \n for time ' + start + ' to ' + end
print dlstring
respdata = client.resp(network,
station,
location,
channel,
starttime=startdt,
endtime=enddt)
# Save to file:
respf = open(respfile, 'w')
respf.write(respdata)
respf.close()
# Print statement:
print 'Saved resp to file ' + respfile
def test_distaz(self):
"""
Tests distance and azimuth calculation between two points on a sphere.
"""
client = Client()
# normal request
result = client.distaz(stalat=1.1, stalon=1.2, evtlat=3.2, evtlon=1.4)
self.assertAlmostEqual(result['distance'], 2.09554)
self.assertAlmostEqual(result['backazimuth'], 5.46946)
self.assertAlmostEqual(result['azimuth'], 185.47692)
# w/o kwargs
result = client.distaz(1.1, 1.2, 3.2, 1.4)
self.assertAlmostEqual(result['distance'], 2.09554)
self.assertAlmostEqual(result['backazimuth'], 5.46946)
self.assertAlmostEqual(result['azimuth'], 185.47692)
# missing parameters
self.assertRaises(Exception, client.distaz, stalat=1.1)
self.assertRaises(Exception, client.distaz, 1.1)
self.assertRaises(Exception, client.distaz, stalat=1.1, stalon=1.2)
self.assertRaises(Exception, client.distaz, 1.1, 1.2)
def test_resp(self):
"""
Tests resp Web service interface.
Examples are inspired by http://www.iris.edu/ws/resp/.
"""
client = Client()
# 1
t1 = UTCDateTime("2005-001T00:00:00")
t2 = UTCDateTime("2008-001T00:00:00")
result = client.resp("IU", "ANMO", "00", "BHZ", t1, t2)
self.assertIn(b'B050F03 Station: ANMO', result)
# 2 - empty location code
result = client.resp("UW", "LON", "", "EHZ")
self.assertIn(b'B050F03 Station: LON', result)
self.assertIn(b'B052F03 Location: ??', result)
# 3 - empty location code via '--'
result = client.resp("UW", "LON", "--", "EHZ")
self.assertIn(b'B050F03 Station: LON', result)
self.assertIn(b'B052F03 Location: ??', result)
# 4
dt = UTCDateTime("2010-02-27T06:30:00.000")
result = client.resp("IU", "ANMO", "*", "*", dt)
self.assertIn(b'B050F03 Station: ANMO', result)
def test_evalresp(self):
"""
Tests evaluating instrument response information.
"""
client = Client()
dt = UTCDateTime("2005-01-01")
# plot as PNG file
with NamedTemporaryFile() as tf:
tempfile = tf.name
client.evalresp(network="IU",
station="ANMO",
location="00",
channel="BHZ",
time=dt,
output='plot',
filename=tempfile)
with open(tempfile, 'rb') as fp:
self.assertEqual(fp.read(4)[1:4], b'PNG')
# plot-amp as PNG file
with NamedTemporaryFile() as tf:
tempfile = tf.name
client.evalresp(network="IU",
station="ANMO",
location="00",
channel="BHZ",
time=dt,
output='plot-amp',
filename=tempfile)
with open(tempfile, 'rb') as fp:
self.assertEqual(fp.read(4)[1:4], b'PNG')
# plot-phase as PNG file
with NamedTemporaryFile() as tf:
tempfile = tf.name
client.evalresp(network="IU",
station="ANMO",
location="00",
channel="BHZ",
time=dt,
output='plot-phase',
filename=tempfile)
with open(tempfile, 'rb') as fp:
self.assertEqual(fp.read(4)[1:4], b'PNG')
# fap as ASCII file
with NamedTemporaryFile() as tf:
tempfile = tf.name
client.evalresp(network="IU",
station="ANMO",
location="00",
channel="BHZ",
time=dt,
output='fap',
filename=tempfile)
with open(tempfile, 'rt') as fp:
self.assertEqual(fp.readline(),
'1.000000E-05 1.055999E+04 1.792007E+02\n')
# cs as ASCII file
with NamedTemporaryFile() as tf:
tempfile = tf.name
client.evalresp(network="IU",
station="ANMO",
location="00",
channel="BHZ",
time=dt,
output='cs',
filename=tempfile)
with open(tempfile, 'rt') as fp:
self.assertEqual(fp.readline(),
'1.000000E-05 -1.055896E+04 1.473054E+02\n')
# fap & def as ASCII file
with NamedTemporaryFile() as tf:
tempfile = tf.name
client.evalresp(network="IU",
station="ANMO",
location="00",
channel="BHZ",
time=dt,
output='fap',
units='def',
filename=tempfile)
with open(tempfile, 'rt') as fp:
self.assertEqual(fp.readline(),
'1.000000E-05 1.055999E+04 1.792007E+02\n')
# fap & dis as ASCII file
with NamedTemporaryFile() as tf:
tempfile = tf.name
client.evalresp(network="IU",
station="ANMO",
location="00",
channel="BHZ",
time=dt,
output='fap',
units='dis',
filename=tempfile)
with open(tempfile, 'rt') as fp:
self.assertEqual(fp.readline(),
'1.000000E-05 6.635035E-01 2.692007E+02\n')
# fap & vel as ASCII file
with NamedTemporaryFile() as tf:
tempfile = tf.name
client.evalresp(network="IU",
station="ANMO",
location="00",
channel="BHZ",
time=dt,
output='fap',
units='vel',
filename=tempfile)
with open(tempfile, 'rt') as fp:
self.assertEqual(fp.readline(),
'1.000000E-05 1.055999E+04 1.792007E+02\n')
# fap & acc as ASCII file
with NamedTemporaryFile() as tf:
tempfile = tf.name
client.evalresp(network="IU",
station="ANMO",
location="00",
channel="BHZ",
time=dt,
output='fap',
units='acc',
filename=tempfile)
with open(tempfile, 'rt') as fp:
self.assertEqual(fp.readline(),
'1.000000E-05 1.680674E+08 8.920073E+01\n')
# fap as NumPy ndarray
data = client.evalresp(network="IU",
station="ANMO",
location="00",
channel="BHZ",
time=dt,
output='fap')
np.testing.assert_array_equal(
data[0], [1.00000000e-05, 1.05599900e+04, 1.79200700e+02])
# cs as NumPy ndarray
data = client.evalresp(network="IU",
station="ANMO",
location="00",
channel="BHZ",
time=dt,
output='cs')
np.testing.assert_array_equal(
data[0], [1.00000000e-05, -1.05589600e+04, 1.47305400e+02])
from bqmail.query import Query
from obspy import UTCDateTime
from obspy.taup import TauPyModel
from obspy.clients.iris import Client
import smtplib
from email.mime.text import MIMEText
from email.header import Header
from .distaz import distaz
model = TauPyModel()
cld = Client()
def connectsmtp(server, port, sender, password):
smtpObj = smtplib.SMTP_SSL(server, port)
smtpObj.login(sender, password)
return smtpObj
def loginmail(sender, server='localhost', password='', port=465, test_num=5):
test_it = 1
while test_it <= test_num:
if test_it > 1:
print('Try to link to {} in {} times'.format(server, test_it))
try:
smtpObj = connectsmtp(server, port, sender, password)
except:
test_it += 1
continue
else:
break
if test_it > test_num:
from utilities_Array import deg_km_az_baz
# To dictate headers
from obspy.core.util import AttribDict
## Web service packages
from obspy.clients.iris import Client
# TauP
from obspy.taup import TauPyModel
# my model of choice is prem :D
model = TauPyModel(model="prem")
# Make client - just for giggles
client = Client()
import shutil
import numpy
import matplotlib.pyplot as plt
import argparse
parser = argparse.ArgumentParser(
description='Preprocessing script for data retrieved from obspy DMT')
parser.add_argument("-fmin",
"--minimuum_frequency",
help="Enter the lowest frequency to be bandpass filtered.",
type=float,
#!/usr/bin/env python
#from obspy.core import read
from obspy.clients.iris import Client
from obspy import core
stat = 'AAM' # Station Code
net = 'US' # Station Network
ch = ['BHZ', 'BH1', 'BH2'] # Channel
loc = '00' # Location
# These 4 parameter identify the trace to download
start = core.UTCDateTime("2017-09-19T18:14:38")
end = core.UTCDateTime(start + 1800)
client = Client(
) # Not sure what this does but its gets rid of the "self" error message
str = core.stream.Stream()
for x in range(0, 3):
str += client.timeseries(network=net,
station=stat,
channel=ch[x],
location=loc,
starttime=start,
endtime=end)
## Plot Traces
start_plot = start + 222 #Manipulate starttime to get a nicer plot
end_plot = start_plot + 960
str.plot(size=[800, 600],
starttime=start_plot,
endtime=end_plot,
type='relative')
def rate(network,
phase,
preproloc,
station=None,
review=False,
retained=False,
decon_meth='it',
test_tt_calculation=False):
"""
Module to rate and review the quality of Sp or Ps waveforms from the given
station. Shows the automatic rating from qc. Tapers can be controlled with
the mouse. Rating is done with the keyboard. Makes only sense if the
files in preproloc have not been quality controlled (the script is a
reminant from an earlier alpha version).
Parameters
----------
network : STRING
Network code (two letters).
phase : STRING
Either "P" for Ps or "S" Sp. The default is "S".
preproloc : string
Directory that contains the preprocessed files (not quality controlled)
station : str or list, optional
Station code (three letters).
review : INTEGER, optional
If true, already rated waveforms are shown.
Can also be an integer between 1 and 4. Then, only waveforms rated
with the respected rating are shown. The default is False.
retained : Bool, optional
Show only waveforms retained by qcp or qcs. The default is False.
decon_meth : STRING, optional
Deconvolution method, "waterlevel", 'dampedf' for constant
damping level, 'it' for iterative time domain deconvoltuion, 'multit'
for multitaper or 'fqd' for frequency dependently damped spectral
division. The default is 'it'
Raises
------
Exception
For Typing mistakes.
Returns
-------
None.
"""
if phase == 'P':
onset = 30
elif phase[-1] == 'S':
onset = 120
inloc = os.path.join(preproloc, phase, 'by_station', network)
infiles = [] # List of all files in folder
pattern = [] # List of input constraints
streams = [] # List of files filtered for input criteria
for root, dirs, files in os.walk(inloc):
for name in files:
infiles.append(os.path.join(root, name))
# Set filter patterns
if station:
if type(station) == str:
pattern.append('*%s*%s*.mseed' % (network, station))
elif type(station) == list:
for stat in station:
pattern.append('*%s*%s*.mseed' % (network, stat))
else:
pattern.append('*%s*.mseed' % (network))
# Do filtering
for pat in pattern:
streams.extend(fnmatch.filter(infiles, pat))
# clear memory
del pattern, infiles
# For TauPy lookup
model = TauPyModel()
if test_tt_calculation:
client = Client()
for f in streams:
# if file[:4] == "info": # Skip the info files
# continue
# try:
# st = read(inloc + file)
# except IsADirectoryError as e:
# print(e)
# continue
st = read(f)
# List for taper coordinates
if "taper" in rating:
del rating["taper"]
rating["taper"] = []
st.normalize()
# Additional filter "test"
if phase == "S":
st.filter("lowpass", freq=1.0, zerophase=True, corners=2)
elif phase == "P":
st.filter("lowpass", freq=1.0, zerophase=True, corners=2)
y = []
ch = []
starttime = str(st[0].stats.starttime)
dt = st[0].stats.delta
sampling_f = st[0].stats.sampling_rate
old = __r_file(network, st[0].stats.station, starttime) # old
# read info file
# location info file
infof = os.path.join(inloc, st[0].stats.station, 'info')
with shelve.open(infof) as info:
ii = info["starttime"].index(st[0].stats.starttime)
rdelta = info["rdelta"][ii] # epicentral distance
mag = info["magnitude"][ii]
statlat = info["statlat"]
statlon = info["statlon"]
rayp = info["rayp_s_deg"][ii] / 111319.9
evt_depth = info["evt_depth"][ii] / 1000
ot = info["ot_ret"][ii]
evtlat = info['evtlat'][ii]
evtlon = info['evtlon'][ii]
if old and not review: # skip already rated files
continue
if type(review) == int:
if review > 4:
raise Exception("review has to be between 0 and 4")
if review != int(old):
continue
# check automatic rating
if phase == "S":
st_f, crit, hf, noisemat = qcs(st, dt, sampling_f, onset=onset)
elif phase == "P":
st_f, crit, hf, noisemat = qcp(st, dt, sampling_f, onset=onset)
# skip files that have not been retained
if retained and not crit:
continue
# create RF
if not test_tt_calculation:
_, _, PSV = rotate_PSV(statlat, statlon, rayp, st_f)
else:
PSV = st_f # to see correlation at theoretical arrival
try:
RF = createRF(PSV, phase, method=decon_meth, shift=onset)
except ValueError as e: # There were some problematic events
print(e)
continue
# TauPy lookup
ph_name = []
ph_time = []
if not test_tt_calculation:
arrivals = model.get_travel_times(evt_depth,
distance_in_degree=rdelta)
primary_time = model.get_travel_times(evt_depth,
distance_in_degree=rdelta,
phase_list=phase)[0].time
for arr in arrivals:
if arr.time < primary_time - onset or arr.time > \
primary_time + 120 or arr.name == phase:
continue
ph_name.append(arr.name)
ph_time.append(arr.time - primary_time)
else:
# Caluclate travel times with different methods
ph_time.append(
model.get_travel_times_geo(evt_depth,
evtlat,
evtlon,
statlat,
statlon,
phase_list=phase)[0].time)
d = []
d.append(
client.distaz(statlat, statlon, evtlat, evtlon)['distance'])
d.append(
kilometer2degrees(
gps2dist_azimuth(statlat, statlon, evtlat, evtlon)[0] /
1000))
for dis in d:
ph_time.append(
model.get_travel_times(evt_depth, dis,
phase_list=phase)[0].time)
ph_name = ['taup', 'iris', 'geodetics']
ph_time = np.array(ph_time) - (st[0].stats.starttime + onset -
UTCDateTime(ot))
# waveform data
st.sort()
for tr in st:
y.append(tr.data)
ch.append(tr.stats.channel[2])
# create time vector
t = np.linspace(0 - onset, tr.stats.npts * tr.stats.delta - onset,
len(y[0]))
# plot
fig, ax = __draw_plot(starttime, t, y, ph_time, ph_name, ch, noisemat,
RF, old, rdelta, mag, crit, ot, evt_depth, phase,
test_tt_calculation)
while not plt.waitforbuttonpress(30):
# Taper when input is there
if len(rating["taper"]) == 2:
if rating["taper"][0] < rating["taper"][1]:
trim = [rating["taper"][0], rating["taper"][1]]
else:
trim = [rating["taper"][1], rating["taper"][0]]
trim[0] = trim[0] - t[0]
trim[1] = t[-1] - trim[1]
RF = createRF(PSV,
phase,
method=decon_meth,
shift=onset,
trim=trim)
__draw_plot(starttime, t, y, ph_time, ph_name, ch, noisemat,
RF, old, rdelta, mag, crit, ot, evt_depth, phase,
test_tt_calculation)
rating["taper"].clear()
# fig.canvas.mpl_connect('key_press_event', ontype)
if rating["k"] == "q":
break
elif "k" in rating:
__w_file(network, st[0].stats.station, starttime)
# -*- coding: utf-8 -*-
"""
Created on Mon Mar 12 15:10:29 2018
@author: jfarrugia
"""
#%% Get some raw data from IRIS to pass through our new stationXML file
from obspy import read_inventory
inv = read_inventory('NV_ONC.xml', format="STATIONXML")
plotting_flag = 1
if plotting_flag == 1:
from obspy.clients.iris import Client
client = Client(timeout=100)
from obspy import UTCDateTime
import pandas as pd
import matplotlib.pyplot as plt
start_t = UTCDateTime("2018-01-10T03:00:00")
end_t = start_t + 60 * 30
st_e = client.timeseries(network='NV',
station='NC89',
location=None,
channel='HHE',
starttime=start_t,
endtime=end_t,
filter=['decimate=5.0'])
st_e_noresponse = st_e.remove_response(inventory=inv, output='ACC')
st_e_noresponse.write('E_honduras_correct_response.dat', format='TSPAIR')
