def write(self, filename, **kwargs):
#
# Assign all attributes which have same name in gse2head
#
header = {}
for _i in libgse2.gse2head:
try:
header[_i] = getattr(self.stats,_i)
except AttributeError:
pass
#
# Translate the common (renamed) entries
#
# sampling rate
if not header['samp_rate']:
try:
header['samp_rate'] = self.stats.sampling_rate
except:
raise ValueError("No sampling rate given")
# number of samples
if not header['n_samps']:
try:
header['n_samps'] = self.stats.sampling_rate
except:
header['n_samps'] = len(data)
# year, month, day, hour, min, sec
if not header['d_day']:
try:
(header['d_year'],
header['d_mon'],
header['d_day'],
header['t_hour'],
header['t_min'],
header['t_sec']) = self.stats.starttime.timetuple()[0:6]
header['t_sec'] += self.stats.starttime.microseconds/1.0e6
except:
pass
try:
libgse2.write(header,self.data,filename)
except TypeError:
libgse2.write(header,array(self.data,format='l'),filename)
def read(self, filename, **kwargs):
if not os.path.exists(filename):
msg = "File not found '%s'" % (filename)
raise IOError(msg)
# read GSE2 file
header, data = libgse2.read(filename)
# reset header information
self.stats = Stats()
# assign all header entries to stats
for _i in header.keys():
setattr(self.stats,_i,header[_i])
# now assign the common attributes of the Trace class
# station name
self.stats.station = header['station']
# sampling rate in Hz (float)
self.stats.sampling_rate = header['samp_rate']
# number of samples/data points (int)
self.stats.npts = header['n_samps']
# network ID
self.stats.network = ""
# location ID
self.stats.location = ""
# channel ID
self.stats.channel = header['channel']
# data quality indicator
self.stats.dataquality = ""
# convert time to seconds since epoch
seconds = int(header['t_sec'])
microseconds = int(1e6*(header['t_sec'] - seconds))
self.stats.starttime = DateTime(
header['d_year'],header['d_mon'],header['d_day'],
header['t_hour'],header['t_min'],
seconds,microseconds
)
self.stats.endtime = DateTime.utcfromtimestamp(
self.stats.starttime.timestamp() +
header['n_samps']/float(header['samp_rate'])
)
self.data=array(data)
def write(self, filename, **kwargs):
#
# Assign all attributes which have same name in gse2head
#
header = {}
for _i in libgse2.gse2head:
try:
header[_i] = getattr(self.stats, _i)
except AttributeError:
pass
#
# Translate the common (renamed) entries
#
# sampling rate
if not header['samp_rate']:
try:
header['samp_rate'] = self.stats.sampling_rate
except:
raise ValueError("No sampling rate given")
# number of samples
if not header['n_samps']:
try:
header['n_samps'] = self.stats.sampling_rate
except:
header['n_samps'] = len(data)
# year, month, day, hour, min, sec
if not header['d_day']:
try:
(header['d_year'], header['d_mon'], header['d_day'],
header['t_hour'], header['t_min'],
header['t_sec']) = self.stats.starttime.timetuple()[0:6]
header['t_sec'] += self.stats.starttime.microseconds / 1.0e6
except:
pass
try:
libgse2.write(header, self.data, filename)
except TypeError:
libgse2.write(header, array(self.data, format='l'), filename)
def read(self, filename, **kwargs):
if not os.path.exists(filename):
msg = "File not found '%s'" % (filename)
raise IOError(msg)
# read GSE2 file
header, data = libgse2.read(filename)
# reset header information
self.stats = Stats()
# assign all header entries to stats
for _i in header.keys():
setattr(self.stats, _i, header[_i])
# now assign the common attributes of the Trace class
# station name
self.stats.station = header['station']
# sampling rate in Hz (float)
self.stats.sampling_rate = header['samp_rate']
# number of samples/data points (int)
self.stats.npts = header['n_samps']
# network ID
self.stats.network = ""
# location ID
self.stats.location = ""
# channel ID
self.stats.channel = header['channel']
# data quality indicator
self.stats.dataquality = ""
# convert time to seconds since epoch
seconds = int(header['t_sec'])
microseconds = int(1e6 * (header['t_sec'] - seconds))
self.stats.starttime = DateTime(header['d_year'], header['d_mon'],
header['d_day'], header['t_hour'],
header['t_min'], seconds, microseconds)
self.stats.endtime = DateTime.utcfromtimestamp(
self.stats.starttime.timestamp() +
header['n_samps'] / float(header['samp_rate']))
self.data = array(data)
