def read(filename,
format=None,
dtype='float64',
byteorder='native',
description='',
normalize=True,
*args, **kwargs):
"""
Read signal files into an ApasvoStream object
:param filename:
:param format:
:param file_dtype:
:param file_byteorder:
:param description:
:param args:
:param kwargs:
:return:
"""
# Try to read using obspy core functionality
try:
traces = [ApasvoTrace(copy.deepcopy(trace.data), copy.deepcopy(trace.stats), filename=filename, normalize=normalize) \
for trace in op.read(filename, format=format, *args, **kwargs).traces]
# Otherwise try to read as a binary or text file
except Exception as e:
fhandler = rawfile.get_file_handler(filename,
format=format,
dtype=dtype,
byteorder=byteorder)
trace = ApasvoTrace(fhandler.read().astype(DEFAULT_DTYPE, casting='safe'), filename=filename)
sample_fs = kwargs.get('fs')
trace.stats.delta = DEFAULT_DELTA if sample_fs is None else 1. / sample_fs
traces = [trace]
# Convert Obspy traces to apasvo traces
return ApasvoStream(traces, description=description, filename=filename)
def read(filename,
format=None,
dtype='float64',
byteorder='native',
description='',
*args,
**kwargs):
"""
Read signal files into an ApasvoStream object
:param filename:
:param format:
:param file_dtype:
:param file_byteorder:
:param description:
:param args:
:param kwargs:
:return:
"""
# Try to read using obspy core functionality
try:
traces = [ApasvoTrace(copy.deepcopy(trace.data), copy.deepcopy(trace.stats)) \
for trace in op.read(filename, format=format, *args, **kwargs).traces]
# Otherwise try to read as a binary or text file
except Exception as e:
fhandler = rawfile.get_file_handler(
filename, format=format, dtype=dtype, byteorder=byteorder)
trace = ApasvoTrace(fhandler.read().astype(
DEFAULT_DTYPE, casting='safe'))
sample_fs = kwargs.get('fs')
trace.stats.delta = DEFAULT_DELTA if sample_fs is None else 1. / sample_fs
traces = [trace]
# Convert Obspy traces to apasvo traces
return ApasvoStream(traces, description=description)
def __init__(self, fileobj, fs, label='', description='', fmt='',
dtype=rawfile.datatype_float64,
byteorder=rawfile.byteorder_native, **kwargs):
"""Initializes a Record instance.
Args:
fileobj: A file (binary or plain text) storing seismic data.
fs: Sample rate in Hz.
label: A string that identifies the seismic record. Default: ''.
description: Additional comments.
fmt: A string indicating fileobj's format. Possible values are
'binary', 'text' or ''. Default value is ''.
dtype: Data-type of the data stored in fileobj. Default value
is 'float64'.
byteorder: Byte-order of the data stored in fileobj.
Valid values are: 'little-endian', 'big-endian' and 'native'.
Default: 'native'.
"""
super(Record, self).__init__()
if isinstance(fileobj, file):
self.filename = fileobj.name
else:
self.filename = fileobj
fhandler = rawfile.get_file_handler(fileobj, fmt=fmt, dtype=dtype,
byteorder=byteorder)
self.signal = fhandler.read().astype(rawfile.datatype_float64, casting='safe')
self.fs = fs
self.cf = np.array([], dtype=rawfile.datatype_float64)
self.events = []
if label == '':
_, rname = os.path.split(self.filename)
label, _ = os.path.splitext(rname)
self.label = label
self.description = description
def load_noise_coefficients(self, fileobj, dtype='float64',
byteorder='native'):
"""Loads 'bfirls' attribute from a given file.
File must be on binary or plain text format.
Args:
fileobj: A binary or text file object containing a list of numeric
coefficients.
dtype: Data-type of the numeric data stored into the file.
byteorder: Byte-order of the numeric data stored into the file.
"""
fhandler = rawfile.get_file_handler(fileobj, dtype=dtype,
byteorder=byteorder)
self.bfirls = fhandler.read()
def load_noise_coefficients(self,
fileobj,
dtype='float64',
byteorder='native'):
"""Loads 'bfirls' attribute from a given file.
File must be on binary or plain text format.
Args:
fileobj: A binary or text file object containing a list of numeric
coefficients.
dtype: Data-type of the numeric data stored into the file.
byteorder: Byte-order of the numeric data stored into the file.
"""
fhandler = rawfile.get_file_handler(fileobj,
dtype=dtype,
byteorder=byteorder)
self.bfirls = fhandler.read()
def load_preview(self):
"""Shows a preview of loaded data using the selected parameters."""
# Load parameters
values = self.get_values()
try:
# Set up a file handler according to the type of raw data (binary or text)
fhandler = rawfile.get_file_handler(self.filename, **values)
# Print data preview
array = fhandler.read_in_blocks().next()
data = ''
for x in array:
data += ("%g\n" % x)
except:
data = '*** There was a problem reading the file content ***'
self.buttonBox.button(QtGui.QDialogButtonBox.Ok).setEnabled(False)
else:
self.buttonBox.button(QtGui.QDialogButtonBox.Ok).setEnabled(True)
self.PreviewTextEdit.clear()
self.PreviewTextEdit.setText(data)
def __init__(self,
fileobj,
fs,
label='',
description='',
fmt='',
dtype=rawfile.datatype_float64,
byteorder=rawfile.byteorder_native,
**kwargs):
"""Initializes a Record instance.
Args:
fileobj: A file (binary or plain text) storing seismic data.
fs: Sample rate in Hz.
label: A string that identifies the seismic record. Default: ''.
description: Additional comments.
fmt: A string indicating fileobj's format. Possible values are
'binary', 'text' or ''. Default value is ''.
dtype: Data-type of the data stored in fileobj. Default value
is 'float64'.
byteorder: Byte-order of the data stored in fileobj.
Valid values are: 'little-endian', 'big-endian' and 'native'.
Default: 'native'.
"""
super(Record, self).__init__()
if isinstance(fileobj, file):
self.filename = fileobj.name
else:
self.filename = fileobj
fhandler = rawfile.get_file_handler(fileobj,
fmt=fmt,
dtype=dtype,
byteorder=byteorder)
self.signal = fhandler.read().astype(rawfile.datatype_float64,
casting='safe')
self.fs = fs
self.cf = np.array([], dtype=rawfile.datatype_float64)
self.events = []
if label == '':
_, rname = os.path.split(self.filename)
label, _ = os.path.splitext(rname)
self.label = label
self.description = description
def generate(FILEIN, length, t_event, output, gen_event_power=5.0, n_events=1,
gen_noise_coefficients=False, output_format='binary',
datatype='float64', byteorder='native', **kwargs):
"""Generates synthetic earthquake signals with background noise and saves
them to file.
The function accepts a list of command-line arguments and renders synthetic
seismic data in two ways: If a list of input files containing seismic data
is provided, the function generates a new output signal for each one of
the files by adding background noise. If no input file is provided,
the function generates a list of synthetic seismic signals.
Args:
FILEIN: A list of binary or text file objects storing seismic data.
length: Length of rendered seismic signals, in seconds.
If FILEIN is None, this parameter has no effect.
t_event: Start time of rendered earthquake, given in seconds from the
beginning of the signal.
If FILEIN is None, this parameter has no effect.
output: Output file name (absolute path).
If no input file is provided and n_events is greater than 1, the
name of each generated file will be followed by its ordinal number.
E.g. given FILEIN = None, output = 'example.out' and n_events = 5,
the function will generate 5 synthetic files named:
'example00.out', 'example01.out', 'example02.out', 'example03.out'
and 'example04.out'.
gen_event_power: Earthquake power in dB.
If FILEIN is None, this parameter has no effect.
Default: 5.0.
n_events: No. of signals to generate.
If FILEIN is None, this parameter has no effect.
Default: 1.
gen_noise_coefficients: A binary or text file object containing a list
of numeric coefficients of a FIR filter that models the background
noise.
Default value is False, meaning unfiltered white noise is used
to model the background noise.
output_format: Output file format. Possible values are 'binary' or
'text'. Default: 'binary'.
datatype: Data-type of generated data. Default value is 'float64'.
If FILEIN is not None, this parameter is also the datatype of
input data.
byteorder: Byte-order of generated data. Possible values are
'little-endian', 'big-endian' and 'native'.
If FILEIN is not None, this parameter is also the format of
input data.
Default value is 'native'.
"""
fs = kwargs.get('fs', 50.0)
# Configure generator
clt.print_msg("Configuring generator... ")
generator = eqgenerator.EarthquakeGenerator(**kwargs)
clt.print_msg("Done\n")
# Load noise coefficients
if gen_noise_coefficients:
if futils.istextfile(gen_noise_coefficients):
f = open(gen_noise_coefficients, 'r')
else:
f = open(gen_noise_coefficients, 'rb')
clt.print_msg("Loading noise coefficients from %s... " %
f.name)
generator.load_noise_coefficients(f, dtype=datatype,
byteorder=byteorder)
clt.print_msg("Done\n")
# Process input files
basename, ext = os.path.splitext(output)
filename_out = output
# If a list of input files containing seismic data
# is provided, generate a new output signal for each one of
# the files by adding background noise.
if FILEIN:
fileno = 0
for f in FILEIN:
# Read input signal
fin_handler = rawfile.get_file_handler(f, dtype=datatype,
byteorder=byteorder)
clt.print_msg("Loading seismic signal from %s... " %
fin_handler.filename)
signal = fin_handler.read()
clt.print_msg("Done\n")
# Generate output filename
if len(FILEIN) > 1:
filename_out = "%s%02.0i%s" % (basename, fileno, ext)
fileno += 1
clt.print_msg("Generating artificial signal in %s... " %
filename_out)
# Add background noise to signal
eq = generator.generate_noise(signal)
# Save outputs to file
if output_format == 'text':
fout_handler = rawfile.TextFile(filename_out, dtype=datatype,
byteorder=byteorder)
else:
fout_handler = rawfile.BinFile(filename_out, dtype=datatype,
byteorder=byteorder)
fout_handler.write(eq, header="Sample rate: %g Hz." % fs)
clt.print_msg("Done\n")
# If no input file is provided,
# generate a list of synthetic seismic signals.
else:
for i in xrange(n_events):
# Generate output filename
if n_events > 1:
filename_out = "%s%02.0i%s" % (basename, i, ext)
clt.print_msg("Generating artificial signal in %s... " %
filename_out)
# Generate a synthetic signal
eq = generator.generate_earthquake(length, t_event,
gen_event_power)
# Save outputs to file
if output_format == 'text':
fout_handler = rawfile.TextFile(filename_out, dtype=datatype,
byteorder=byteorder)
else:
fout_handler = rawfile.BinFile(filename_out, dtype=datatype,
byteorder=byteorder)
fout_handler.write(eq, header="Sample rate: %g Hz." % fs)
clt.print_msg("Done\n")