def evalresp_for_frequencies(t_samp,
frequencies,
filename,
date,
station='*',
channel='*',
network='*',
locid='*',
units="VEL",
debug=False):
"""
Use the evalresp library to extract instrument response information from a
SEED RESP-file for the specified frequencies.
:type t_samp: float
:param t_samp: Sampling interval in seconds
:type frequencies: list of float
:param frequencies: Discrete frequencies to calculate response for.
:type filename: str or file
:param filename: SEED RESP-filename or open file like object with RESP
information. Any object that provides a read() method will be
considered to be a file like object.
:type date: :class:`~obspy.core.utcdatetime.UTCDateTime`
:param date: Date of interest
:type station: str
:param station: Station id
:type channel: str
:param channel: Channel id
:type network: str
:param network: Network id
:type locid: str
:param locid: Location id
:type units: str
:param units: Units to return response in. Can be either DIS, VEL or ACC
:type debug: bool
:param debug: Verbose output to stdout. Disabled by default.
:rtype: :class:`numpy.ndarray` complex128
:return: Frequency response from SEED RESP-file for given frequencies
"""
if isinstance(filename, (str, native_str)):
with open(filename, 'rb') as fh:
data = fh.read()
elif hasattr(filename, 'read'):
data = filename.read()
# evalresp needs files with correct line separators depending on OS
with NamedTemporaryFile() as fh:
tempfile = fh.name
fh.write(os.linesep.encode('ascii', 'strict').join(data.splitlines()))
fh.close()
# start at zero to get zero for offset/ DC of fft
start_stage = C.c_int(-1)
stop_stage = C.c_int(0)
stdio_flag = C.c_int(0)
sta = C.create_string_buffer(station.encode('ascii', 'strict'))
cha = C.create_string_buffer(channel.encode('ascii', 'strict'))
net = C.create_string_buffer(network.encode('ascii', 'strict'))
locid = C.create_string_buffer(locid.encode('ascii', 'strict'))
unts = C.create_string_buffer(units.encode('ascii', 'strict'))
if debug:
vbs = C.create_string_buffer(b"-v")
else:
vbs = C.create_string_buffer(b"")
rtyp = C.create_string_buffer(b"CS")
datime = C.create_string_buffer(date.format_seed().encode(
'ascii', 'strict'))
fn = C.create_string_buffer(tempfile.encode('ascii', 'strict'))
frequencies = np.asarray(frequencies)
nfreqs = C.c_int(frequencies.shape[0])
res = clibevresp.evresp(sta, cha, net, locid, datime, unts, fn,
frequencies, nfreqs, rtyp, vbs, start_stage,
stop_stage, stdio_flag, C.c_int(0))
# optimizing performance, see
# https://wiki.python.org/moin/PythonSpeed/PerformanceTips
try:
nfreqs, rfreqs, rvec = \
res[0].nfreqs, res[0].freqs, res[0].rvec
except ValueError:
msg = "evalresp failed to calculate a response."
raise ValueError(msg)
h = np.empty(nfreqs, dtype=np.complex128)
for i in range(nfreqs):
h[i] = rvec[i].real + rvec[i].imag * 1j
clibevresp.free_response(res)
del nfreqs, rfreqs, rvec, res
return h
def evalresp(t_samp, nfft, filename, date, station='*', channel='*',
network='*', locid='*', units="VEL", freq=False,
debug=False):
"""
Use the evalresp library to extract instrument response
information from a SEED RESP-file.
:type t_samp: float
:param t_samp: Sampling interval in seconds
:type nfft: int
:param nfft: Number of FFT points of signal which needs correction
:type filename: str or file
:param filename: SEED RESP-filename or open file like object with RESP
information. Any object that provides a read() method will be
considered to be a file like object.
:type date: :class:`~obspy.core.utcdatetime.UTCDateTime`
:param date: Date of interest
:type station: str
:param station: Station id
:type channel: str
:param channel: Channel id
:type network: str
:param network: Network id
:type locid: str
:param locid: Location id
:type units: str
:param units: Units to return response in. Can be either DIS, VEL or ACC
:type debug: bool
:param debug: Verbose output to stdout. Disabled by default.
:rtype: :class:`numpy.ndarray` complex128
:return: Frequency response from SEED RESP-file of length nfft
"""
if isinstance(filename, (str, native_str)):
with open(filename, 'rb') as fh:
data = fh.read()
elif hasattr(filename, 'read'):
data = filename.read()
# evalresp needs files with correct line separators depending on OS
with NamedTemporaryFile() as fh:
tempfile = fh.name
fh.write(os.linesep.encode('ascii', 'strict').join(data.splitlines()))
fh.close()
fy = 1 / (t_samp * 2.0)
# start at zero to get zero for offset/ DC of fft
freqs = np.linspace(0, fy, nfft // 2 + 1)
start_stage = C.c_int(-1)
stop_stage = C.c_int(0)
stdio_flag = C.c_int(0)
sta = C.create_string_buffer(station.encode('ascii', 'strict'))
cha = C.create_string_buffer(channel.encode('ascii', 'strict'))
net = C.create_string_buffer(network.encode('ascii', 'strict'))
locid = C.create_string_buffer(locid.encode('ascii', 'strict'))
unts = C.create_string_buffer(units.encode('ascii', 'strict'))
if debug:
vbs = C.create_string_buffer(b"-v")
else:
vbs = C.create_string_buffer(b"")
rtyp = C.create_string_buffer(b"CS")
datime = C.create_string_buffer(
date.format_seed().encode('ascii', 'strict'))
fn = C.create_string_buffer(tempfile.encode('ascii', 'strict'))
nfreqs = C.c_int(freqs.shape[0])
res = clibevresp.evresp(sta, cha, net, locid, datime, unts, fn,
freqs, nfreqs, rtyp, vbs, start_stage,
stop_stage, stdio_flag, C.c_int(0))
# optimizing performance, see
# https://wiki.python.org/moin/PythonSpeed/PerformanceTips
try:
nfreqs, rfreqs, rvec = res[0].nfreqs, res[0].freqs, res[0].rvec
except ValueError:
msg = "evalresp failed to calculate a response."
raise ValueError(msg)
h = np.empty(nfreqs, dtype=np.complex128)
f = np.empty(nfreqs, dtype=np.float64)
for i in range(nfreqs):
h[i] = rvec[i].real + rvec[i].imag * 1j
f[i] = rfreqs[i]
clibevresp.free_response(res)
del nfreqs, rfreqs, rvec, res
if freq:
return h, f
return h
def evalresp(
t_samp, nfft, filename, date, station="*", channel="*", network="*", locid="*", units="VEL", freq=False, debug=False
):
"""
Use the evalresp library to extract instrument response
information from a SEED RESP-file.
:type t_samp: float
:param t_samp: Sampling interval in seconds
:type nfft: int
:param nfft: Number of FFT points of signal which needs correction
:type filename: str (or open file like object)
:param filename: SEED RESP-filename or open file like object with RESP
information. Any object that provides a read() method will be
considered to be a file like object.
:type date: UTCDateTime
:param date: Date of interest
:type station: str
:param station: Station id
:type channel: str
:param channel: Channel id
:type network: str
:param network: Network id
:type locid: str
:param locid: Location id
:type units: str
:param units: Units to return response in. Can be either DIS, VEL or ACC
:type debug: bool
:param debug: Verbose output to stdout. Disabled by default.
:rtype: numpy.ndarray complex128
:return: Frequency response from SEED RESP-file of length nfft
"""
if isinstance(filename, basestring):
with open(filename, "rb") as fh:
data = fh.read()
elif hasattr(filename, "read"):
data = filename.read()
# evalresp needs files with correct line separators depending on OS
with NamedTemporaryFile() as fh:
tempfile = fh.name
fh.write(os.linesep.join(data.splitlines()))
fh.close()
fy = 1 / (t_samp * 2.0)
# start at zero to get zero for offset/ DC of fft
freqs = np.linspace(0, fy, nfft // 2 + 1)
start_stage = C.c_int(-1)
stop_stage = C.c_int(0)
stdio_flag = C.c_int(0)
sta = C.create_string_buffer(station)
cha = C.create_string_buffer(channel)
net = C.create_string_buffer(network)
locid = C.create_string_buffer(locid)
unts = C.create_string_buffer(units)
if debug:
vbs = C.create_string_buffer("-v")
else:
vbs = C.create_string_buffer("")
rtyp = C.create_string_buffer("CS")
datime = C.create_string_buffer(date.formatSEED())
fn = C.create_string_buffer(tempfile)
nfreqs = C.c_int(freqs.shape[0])
res = clibevresp.evresp(
sta,
cha,
net,
locid,
datime,
unts,
fn,
freqs,
nfreqs,
rtyp,
vbs,
start_stage,
stop_stage,
stdio_flag,
C.c_int(0),
)
# optimizing performance, see
# http://wiki.python.org/moin/PythonSpeed/PerformanceTips
nfreqs, rfreqs, rvec = res[0].nfreqs, res[0].freqs, res[0].rvec
h = np.empty(nfreqs, dtype="complex128")
f = np.empty(nfreqs, dtype="float64")
for i in xrange(nfreqs):
h[i] = rvec[i].real + rvec[i].imag * 1j
f[i] = rfreqs[i]
clibevresp.free_response(res)
del nfreqs, rfreqs, rvec, res
if freq:
return h, f
return h
def evalresp(t_samp,
nfft,
filename,
date,
station='*',
channel='*',
network='*',
locid='*',
units="VEL",
freq=False,
debug=False):
"""
Use the evalresp library to extract instrument response
information from a SEED RESP-file.
:type t_samp: float
:param t_samp: Sampling interval in seconds
:type nfft: int
:param nfft: Number of FFT points of signal which needs correction
:type filename: str (or open file like object)
:param filename: SEED RESP-filename or open file like object with RESP
information. Any object that provides a read() method will be
considered to be a file like object.
:type date: UTCDateTime
:param date: Date of interest
:type station: str
:param station: Station id
:type channel: str
:param channel: Channel id
:type network: str
:param network: Network id
:type locid: str
:param locid: Location id
:type units: str
:param units: Units to return response in. Can be either DIS, VEL or ACC
:type debug: bool
:param debug: Verbose output to stdout. Disabled by default.
:rtype: numpy.ndarray complex128
:return: Frequency response from SEED RESP-file of length nfft
"""
if isinstance(filename, basestring):
with open(filename, 'rb') as fh:
data = fh.read()
elif hasattr(filename, 'read'):
data = filename.read()
# evalresp needs files with correct line separators depending on OS
with NamedTemporaryFile() as fh:
tempfile = fh.name
fh.write(os.linesep.join(data.splitlines()))
fh.close()
fy = 1 / (t_samp * 2.0)
# start at zero to get zero for offset/ DC of fft
freqs = np.linspace(0, fy, nfft // 2 + 1)
start_stage = C.c_int(-1)
stop_stage = C.c_int(0)
stdio_flag = C.c_int(0)
sta = C.create_string_buffer(station)
cha = C.create_string_buffer(channel)
net = C.create_string_buffer(network)
locid = C.create_string_buffer(locid)
unts = C.create_string_buffer(units)
if debug:
vbs = C.create_string_buffer("-v")
else:
vbs = C.create_string_buffer("")
rtyp = C.create_string_buffer("CS")
datime = C.create_string_buffer(date.formatSEED())
fn = C.create_string_buffer(tempfile)
nfreqs = C.c_int(freqs.shape[0])
res = clibevresp.evresp(sta, cha, net, locid, datime, unts, fn, freqs,
nfreqs, rtyp, vbs, start_stage, stop_stage,
stdio_flag, C.c_int(0))
# optimizing performance, see
# http://wiki.python.org/moin/PythonSpeed/PerformanceTips
nfreqs, rfreqs, rvec = res[0].nfreqs, res[0].freqs, res[0].rvec
h = np.empty(nfreqs, dtype='complex128')
f = np.empty(nfreqs, dtype='float64')
for i in xrange(nfreqs):
h[i] = rvec[i].real + rvec[i].imag * 1j
f[i] = rfreqs[i]
clibevresp.free_response(res)
del nfreqs, rfreqs, rvec, res
if freq:
return h, f
return h
def evalresp(t_samp, nfft, filename, date, station='*', channel='*',
network='*', locid='*', units="VEL", freq=False,
debug=False):
"""
Use the evalresp library to extract instrument response
information from a SEED RESP-file.
:type t_samp: float
:param t_samp: Sampling interval in seconds
:type nfft: int
:param nfft: Number of FFT points of signal which needs correction
:type filename: str
:param filename: SEED RESP-filename or content of RESP file
:type date: UTCDateTime
:param date: Date of interest
:type station: str
:param station: Station id
:type channel: str
:param channel: Channel id
:type network: str
:param network: Network id
:type locid: str
:param locid: Location id
:type units: str
:param units: Units to return response in. Can be either DIS, VEL or ACC
:type debug: bool
:param debug: Verbose output to stdout. Disabled by default.
:rtype: numpy.ndarray complex128
:return: Frequency response from SEED RESP-file of length nfft
"""
# evalresp needs files with correct line separators depending on OS
data = open(filename, 'rb').read()
fh = NamedTemporaryFile()
tempfile = fh.name
fh.write(os.linesep.join(data.splitlines()))
fh.close()
fy = 1 / (t_samp * 2.0)
# start at zero to get zero for offset/ DC of fft
freqs = np.linspace(0, fy, nfft // 2 + 1)
start_stage = C.c_int(-1)
stop_stage = C.c_int(0)
stdio_flag = C.c_int(0)
sta = C.create_string_buffer(station)
cha = C.create_string_buffer(channel)
net = C.create_string_buffer(network)
locid = C.create_string_buffer(locid)
unts = C.create_string_buffer(units)
if debug:
vbs = C.create_string_buffer("-v")
else:
vbs = C.create_string_buffer("")
rtyp = C.create_string_buffer("CS")
datime = C.create_string_buffer("%d,%3d" % (date.year, date.julday))
fn = C.create_string_buffer(tempfile)
nfreqs = C.c_int(freqs.shape[0])
res = clibevresp.evresp(sta, cha, net, locid, datime, unts, fn,
freqs, nfreqs, rtyp, vbs, start_stage,
stop_stage, stdio_flag, C.c_int(0))
# optimizing performance, see
# http://wiki.python.org/moin/PythonSpeed/PerformanceTips
nfreqs, rfreqs, rvec = res[0].nfreqs, res[0].freqs, res[0].rvec
h = np.empty(nfreqs, dtype='complex128')
f = np.empty(nfreqs, dtype='float64')
for i in xrange(nfreqs):
h[i] = rvec[i].real + rvec[i].imag * 1j
f[i] = rfreqs[i]
clibevresp.free_response(res)
del nfreqs, rfreqs, rvec, res
# delete temporary file
try:
os.remove(tempfile)
except:
pass
if freq:
return h, f
return h