from pyrocko import io
from pyrocko.io import rdseed
from pyrocko.example import get_example_data
# Note: this example requires *rdseed* available e.g. at:
# https://ds.iris.edu/
rdseed.check_have_rdseed()
# Download example data
get_example_data('station_info.dseed')
get_example_data('traces_italy.mseed')
# read dataless seed file
seed_volume = rdseed.SeedVolumeAccess('station_info.dseed')
# load traces:
traces = io.load('traces_italy.mseed')
out_traces = []
for tr in traces:
# get response information
resp = seed_volume.get_pyrocko_response(tr, target='dis')
# restitute
displacement = tr.transfer(tfade=100.,
freqlimits=(0.01, 0.02, 5., 10.),
invert=True,
transfer_function=resp)
from pyrocko import pile, io, util, model
from pyrocko.example import get_example_data
# Download example data
get_example_data('data_conversion', recursive=True)
input_path = 'data_conversion/mseed'
output_path = 'data_conversion/sac/' \
'%(dirhz)s/%(station)s_%(channel)s_%(tmin)s.sac'
fn_stations = 'data_conversion/stations.txt'
stations_list = model.load_stations(fn_stations)
stations = {}
for s in stations_list:
stations[s.network, s.station, s.location] = s
s.set_channels_by_name(*'BHN BHE BHZ BLN BLE BLZ'.split())
p = pile.make_pile(input_path)
h = 3600.
tinc = 1 * h
tmin = util.day_start(p.tmin)
for traces in p.chopper_grouped(tmin=tmin,
tinc=tinc,
gather=lambda tr: tr.nslc_id):
for tr in traces:
dirhz = '%ihz' % int(round(1. / tr.deltat))
io.save([tr],
output_path,
format='sac',
from pyrocko import pile, io, util, model
from pyrocko.example import get_example_data
# Download example data
get_example_data('data_conversion', recursive=True)
input_path = 'data_conversion/mseed'
output_path = 'data_conversion/sac/' \
'%(dirhz)s/%(station)s_%(channel)s_%(tmin)s.sac'
fn_stations = 'data_conversion/stations.txt'
stations_list = model.load_stations(fn_stations)
stations = {}
for s in stations_list:
stations[s.network, s.station, s.location] = s
s.set_channels_by_name(*'BHN BHE BHZ BLN BLE BLZ'.split())
p = pile.make_pile(input_path)
h = 3600.
tinc = 1*h
tmin = util.day_start(p.tmin)
for traces in p.chopper_grouped(tmin=tmin, tinc=tinc,
gather=lambda tr: tr.nslc_id):
for tr in traces:
dirhz = '%ihz' % int(round(1./tr.deltat))
io.save(
[tr], output_path,
format='sac',
additional={'dirhz': dirhz},
# Data from Hudnut et al. 1996
# K. W. Hudnut, Z. Shen, M. Murray, S. McClusky, R. King, T. Herring,
# B. Hager, Y. Feng, P. Fang, A. Donnellan, Y. Bock;
# Co-seismic displacements of the 1994 Northridge, California, earthquake.
# Bulletin of the Seismological Society of America; 86 (1B): S19-S36. doi:
# https://pasadena.wr.usgs.gov/office/hudnut/hudnut/nr_bssa.html
mm = 1e3
fn_stations = 'GPS_Stations-Northridge-1994_Hudnut.csv'
fn_displacements = 'GPS_Data-Northridge-1994_Hudnut.csv'
get_example_data(fn_stations)
get_example_data(fn_displacements)
campaign = gnss.GNSSCampaign(name='Northridge 1994')
# Load the stations
with open(fn_stations, 'r') as f:
for line in f:
if line.startswith('#'):
continue
row = line.split(',')
sta = gnss.GNSSStation(
code=row[0].strip(),
lat=float(row[1]),
lon=float(row[2]),
elevation=float(row[3]))
from pyrocko import pz, io, trace
from pyrocko.example import get_example_data
# Download example data
get_example_data('STS2-Generic.polezero.txt')
get_example_data('test.mseed')
# read poles and zeros from SAC format pole-zero file
zeros, poles, constant = pz.read_sac_zpk('STS2-Generic.polezero.txt')
# one more zero to convert from velocity->counts to displacement->counts
zeros.append(0.0j)
rest_sts2 = trace.PoleZeroResponse(zeros=zeros, poles=poles, constant=constant)
traces = io.load('test.mseed')
out_traces = list(traces)
for tr in traces:
displacement = tr.transfer(
1000., # rise and fall of time window taper in [s]
(0.001, 0.002, 5., 10.), # frequency domain taper in [Hz]
transfer_function=rest_sts2,
invert=True) # to change to (counts->displacement)
# change channel id, so we can distinguish the traces in a trace viewer.
displacement.set_codes(channel='D' + tr.channel[-1])
out_traces.append(displacement)
io.save(out_traces, 'displacement.mseed')
from pyrocko import io
from pyrocko.example import get_example_data
get_example_data('test.mseed')
traces = io.load('test.mseed')
for it, t in enumerate(traces):
with open('test-%i.txt' % it, 'w') as f:
for tim, val in zip(t.get_xdata(), t.get_ydata()):
f.write('%20f %20g\n' % (tim, val))
from pyrocko.plot.automap import Map
from pyrocko.example import get_example_data
from pyrocko import util, model,automap, orthodrome as od, moment_tensor as pmt, \
gmtpy
gmtpy.check_have_gmt()
# Download example data
get_example_data('stations_deadsea.pf')
get_example_data('deadsea_events_1976-2017.txt')
# Generate the basic map
m = Map(
lat=31.5,
lon=35.5,
radius=150000.,
width=30., height=30.,
show_grid=False,
show_topo=True,
color_dry=(238, 236, 230),
topo_cpt_wet='light_sea_uniform',
topo_cpt_dry='light_land_uniform',
illuminate=True,
illuminate_factor_ocean=0.15,
show_rivers=False,
show_plates=True)
# Draw some larger cities covered by the map area
m.draw_cities()
from pyrocko import model
from pyrocko.io import quakeml
from pyrocko.example import get_example_data
# small catalog containing two events (data from ingv):
catalog = get_example_data('example-catalog.xml')
# read quakeml events
qml = quakeml.QuakeML.load_xml(filename=catalog)
# get pyrocko events
events = qml.get_pyrocko_events()
for event in events:
print(event)
# save events as pyrocko catalog:
model.event.dump_events(events, filename='test_pyrocko.pf')
import os
from pyrocko import io, trace, evalresp_ext
from pyrocko.example import get_example_data
# Get online data
get_example_data('1989.072.evt.mseed')
traces = io.load('1989.072.evt.mseed')
out_traces = []
for tr in traces:
respfn = tr.fill_template(
'RESP.%(network)s.%(station)s.%(location)s.%(channel)s')
if os.path.exists(respfn):
try:
resp = trace.InverseEvalresp(respfn, tr, target='dis')
tr.extend(tr.tmin - 100., tr.tmax, fillmethod='repeat')
displacement = tr.transfer(
100., # rise and fall of time domain taper in [s]
(0.005, 0.01, 1., 2.), # frequency domain taper in [Hz]
transfer_function=resp)
# change channel id, so we can distinguish the traces in a trace
# viewer.
displacement.set_codes(channel='D'+tr.channel[-1])
out_traces.append(displacement)
from pyrocko.io import stationxml
from pyrocko.example import get_example_data
# Download example StationXML file
get_example_data('responses.xml')
# load the StationXML downloaded data file
sx = stationxml.load_xml(filename='responses.xml')
comp_to_azi_dip = {
'X': (0., 0.),
'Y': (90., 0.),
'Z': (0., -90.),
}
# step through all the networks within the data file
for network in sx.network_list:
# step through all the stations per networks
for station in network.station_list:
# step through all the channels per stations
for channel in station.channel_list:
azi, dip = comp_to_azi_dip[channel.code[-1]]
# change the azimuth and dip of the channel per channel alpha code
channel.azimuth.value = azi
channel.dip.value = dip
# set the instrument input units to 'M'eters
channel.response.instrument_sensitivity.input_units.name = 'M'
from pyrocko.plot import response
from pyrocko.example import get_example_data
# download example data
get_example_data('test_response.resp')
# read data
resps, labels = response.load_response_information('test_response.resp',
'resp')
# plot response and save image
response.plot(responses=resps,
labels=labels,
filename='test_response.png',
fmin=0.001,
fmax=400.,
dpi=75.)
from pyrocko.io import stationxml as fdsn
from pyrocko import model
from pyrocko.example import get_example_data
get_example_data('stations.txt')
stations = model.load_stations('stations.txt')
station_xml = fdsn.FDSNStationXML.from_pyrocko_stations(stations)
for network in station_xml.network_list:
for station in network.station_list:
for channel in station.channel_list:
channel.response = fdsn.Response(
instrument_sensitivity=fdsn.Sensitivity(
value=1.0,
frequency=1.0,
input_units=fdsn.Units('M'),
output_units=fdsn.Units('COUNTS')))
station_xml.validate()
# print(station_xml.dump_xml())
station_xml.dump_xml(filename='stations_flat_displacement.xml')
from pyrocko.example import get_example_data
import obspy
from pyrocko import obspy_compat
obspy_compat.plant()
get_example_data('test.mseed')
get_example_data('geeil.geofon.xml')
# Read in MiniSEED data through ObsPy
inv = obspy.read_inventory('geeil.geofon.xml')
stream = obspy.read('test.mseed')
# Start the Snuffler
stream.snuffle(inventory=inv)
from pyrocko import model
from pyrocko import gmtpy
from pyrocko.plot.automap import Map
from pyrocko.example import get_example_data
gmtpy.check_have_gmt()
# Download example data
get_example_data('stations_deadsea.pf')
# Generate the basic map
m = Map(
lat=31.5,
lon=35.5,
radius=100000.,
width=30., height=30.,
show_grid=False,
show_topo=True,
color_dry=(238, 236, 230),
topo_cpt_wet='light_sea_uniform',
topo_cpt_dry='light_land_uniform',
illuminate=True,
illuminate_factor_ocean=0.15,
show_rivers=False,
show_plates=True)
# Draw some larger cities covered by the map area
m.draw_cities()
# Generate with latitute, longitude and labels of the stations
from pyrocko import util
from pyrocko.gui import marker as pm
from pyrocko.example import get_example_data
# Download example markers
get_example_data('my_markers.pf')
markers = pm.load_markers('my_markers.pf')
pm.associate_phases_to_events(markers)
for marker in markers:
print(util.time_to_str(marker.tmin), util.time_to_str(marker.tmax))
# only event and phase markers have an event attached
if isinstance(marker, (pm.EventMarker, pm.PhaseMarker)):
ev = marker.get_event()
print(ev) # may be shared between markers
from pyrocko.io import stationxml
from pyrocko import model
from pyrocko.example import get_example_data
# get example data
station_file = get_example_data('stations.txt')
# load pyrocko stations
stations = model.station.load_stations(station_file)
# get station xml from pyrocko stations
st_xml = stationxml.FDSNStationXML.from_pyrocko_stations(stations)
# save stations as xml file
st_xml.dump_xml(filename='stations.xml')
from pyrocko import model
from pyrocko.io import quakeml
from pyrocko.example import get_example_data
# small catalog containing two events (data from ingv):
catalog = get_example_data('example-catalog.xml')
# read quakeml events
qml = quakeml.QuakeML.load_xml(filename=catalog)
# get pyrocko events
events = qml.get_pyrocko_events()
for event in events:
print(event)
# save events as pyrocko catalog:
model.event.dump_events(events, filename='test_pyrocko.pf')
import os
from pyrocko import io, trace, evalresp_ext
from pyrocko.example import get_example_data
# Get online data
get_example_data('1989.072.evt.mseed')
traces = io.load('1989.072.evt.mseed')
out_traces = []
for tr in traces:
respfn = tr.fill_template(
'RESP.%(network)s.%(station)s.%(location)s.%(channel)s')
if os.path.exists(respfn):
try:
resp = trace.InverseEvalresp(respfn, tr, target='dis')
tr.extend(tr.tmin - 100., tr.tmax, fillmethod='repeat')
displacement = tr.transfer(
100., # rise and fall of time domain taper in [s]
(0.005, 0.01, 1., 2.), # frequency domain taper in [Hz]
transfer_function=resp)
# change channel id, so we can distinguish the traces in a trace
# viewer.
displacement.set_codes(channel='D' + tr.channel[-1])
out_traces.append(displacement)
from pyrocko.io import stationxml
from pyrocko import model
from pyrocko.example import get_example_data
# get example data
station_file = get_example_data('stations.txt')
# load pyrocko stations
stations = model.station.load_stations(station_file)
# get station xml from pyrocko stations
st_xml = stationxml.FDSNStationXML.from_pyrocko_stations(stations)
# save stations as xml file
st_xml.dump_xml(filename='stations.xml')
# Data from Hudnut et al. 1996
# K. W. Hudnut, Z. Shen, M. Murray, S. McClusky, R. King, T. Herring,
# B. Hager, Y. Feng, P. Fang, A. Donnellan, Y. Bock;
# Co-seismic displacements of the 1994 Northridge, California, earthquake.
# Bulletin of the Seismological Society of America ; 86 (1B): S19–S36. doi:
# https://pasadena.wr.usgs.gov/office/hudnut/hudnut/nr_bssa.html
mm = 1e3
fn_stations = 'GPS_Stations-Northridge-1994_Hudnut.csv'
fn_displacements = 'GPS_Data-Northridge-1994_Hudnut.csv'
get_example_data(fn_stations)
get_example_data(fn_displacements)
campaign = gnss.GNSSCampaign(name='Northridge 1994')
# Load the stations
with open(fn_stations, 'r') as f:
for line in f:
if line.startswith('#'):
continue
row = line.split(',')
sta = gnss.GNSSStation(
code=row[0].strip(),
lat=float(row[1]),
lon=float(row[2]),
elevation=float(row[3]))
from pyrocko import io
from pyrocko.io import rdseed
from pyrocko.example import get_example_data
# Note: this example requires *rdseed* available e.g. at:
# https://ds.iris.edu/
rdseed.check_have_rdseed()
# Download example data
get_example_data('station_info.dseed')
get_example_data('traces_italy.mseed')
# read dataless seed file
seed_volume = rdseed.SeedVolumeAccess('station_info.dseed')
# load traces:
traces = io.load('traces_italy.mseed')
out_traces = []
for tr in traces:
# get response information
resp = seed_volume.get_pyrocko_response(tr, target='dis')
# restitute
displacement = tr.transfer(
tfade=100.,
freqlimits=(0.01, 0.02, 5., 10.),
invert=True,
from pyrocko.plot.automap import Map
from pyrocko.example import get_example_data
from pyrocko import model, gmtpy
from pyrocko import moment_tensor as pmt
gmtpy.check_have_gmt()
# Download example data
get_example_data('stations_deadsea.pf')
get_example_data('deadsea_events_1976-2017.txt')
# Generate the basic map
m = Map(lat=31.5,
lon=35.5,
radius=150000.,
width=30.,
height=30.,
show_grid=False,
show_topo=True,
color_dry=(238, 236, 230),
topo_cpt_wet='light_sea_uniform',
topo_cpt_dry='light_land_uniform',
illuminate=True,
illuminate_factor_ocean=0.15,
show_rivers=False,
show_plates=True)
# Draw some larger cities covered by the map area
m.draw_cities()
# Generate with latitute, longitude and labels of the stations
from pyrocko import pz, io, trace
from pyrocko.example import get_example_data
# Download example data
get_example_data('STS2-Generic.polezero.txt')
get_example_data('test.mseed')
# read poles and zeros from SAC format pole-zero file
zeros, poles, constant = pz.read_sac_zpk('STS2-Generic.polezero.txt')
# one more zero to convert from velocity->counts to displacement->counts
zeros.append(0.0j)
rest_sts2 = trace.PoleZeroResponse(
zeros=zeros,
poles=poles,
constant=constant)
traces = io.load('test.mseed')
out_traces = list(traces)
for tr in traces:
displacement = tr.transfer(
1000., # rise and fall of time window taper in [s]
(0.001, 0.002, 5., 10.), # frequency domain taper in [Hz]
transfer_function=rest_sts2,
invert=True) # to change to (counts->displacement)
# change channel id, so we can distinguish the traces in a trace viewer.
displacement.set_codes(channel='D'+tr.channel[-1])
