def read_ndk_event(self, raw_data, id0):
'''
Reads a 5-line batch of data into a set of GCMTs
'''
gcmt = GCMTEvent()
# Get hypocentre
ndkstring = raw_data[id0].rstrip('\n')
gcmt.hypocentre = self._read_hypocentre_from_ndk_string(ndkstring)
# GCMT metadata
ndkstring = raw_data[id0 + 1].rstrip('\n')
gcmt = self._get_metadata_from_ndk_string(gcmt, ndkstring)
# Get Centroid
ndkstring = raw_data[id0 + 2].rstrip('\n')
gcmt.centroid = self._read_centroid_from_ndk_string(ndkstring,
gcmt.hypocentre)
# Get Moment Tensor
ndkstring = raw_data[id0 + 3].rstrip('\n')
gcmt.moment_tensor = self._get_moment_tensor_from_ndk_string(ndkstring)
# Get principal axes
ndkstring = raw_data[id0 + 4].rstrip('\n')
gcmt.principal_axes = self._get_principal_axes_from_ndk_string(
ndkstring[3:48],
exponent=gcmt.moment_tensor.exponent)
# Get Nodal Planes
gcmt.nodal_planes = self._get_nodal_planes_from_ndk_string(
ndkstring[57:])
# Get Moment and Magnitude
gcmt.moment, gcmt.version, gcmt.magnitude = \
self._get_moment_from_ndk_string(ndkstring,
gcmt.moment_tensor.exponent)
return gcmt
def write_to_gcmt_class(self):
"""
Exports the catalogue to an instance of the :class:
eqcat.gcmt_catalogue.GCMTCatalogue
"""
for iloc in range(0, self.get_number_events()):
#print iloc
gcmt = GCMTEvent()
gcmt.identifier = self.data['eventID'][iloc]
gcmt.magnitude = self.data['magnitude'][iloc]
# Get moment plus scaling
if not np.isnan(self.data['moment'][iloc]):
scaling = float(self.data['scaling'][iloc])
gcmt.moment = self.data['moment'][iloc] * (10. ** scaling)
gcmt.metadata = {'Agency': self.data['Agency'][iloc],
'source': self.data['source'][iloc]}
# Get the hypocentre
gcmt.hypocentre = GCMTHypocentre()
gcmt.hypocentre.source = self.data['source'][iloc]
gcmt.hypocentre.date = datetime.date(self.data['year'][iloc],
self.data['month'][iloc],
self.data['day'][iloc])
second = self.data['second'][iloc]
microseconds = int((second - floor(second)) * 1000000)
gcmt.hypocentre.time = datetime.time(self.data['hour'][iloc],
self.data['minute'][iloc],
int(floor(second)),
microseconds)
gcmt.hypocentre.longitude = self.data['longitude'][iloc]
gcmt.hypocentre.latitude = self.data['latitude'][iloc]
setattr(gcmt.hypocentre,
'semi_major_90',
self.data['SemiMajor90'][iloc])
setattr(gcmt.hypocentre,
'semi_minor_90',
self.data['SemiMinor90'][iloc])
setattr(gcmt.hypocentre,
'error_strike',
self.data['ErrorStrike'][iloc])
# Get the centroid - basically just copying across the hypocentre
gcmt.centroid = GCMTCentroid(gcmt.hypocentre.date,
gcmt.hypocentre.time)
gcmt.centroid.longitude = gcmt.hypocentre.longitude
gcmt.centroid.latitude = gcmt.hypocentre.latitude
gcmt.centroid.depth = gcmt.hypocentre.depth
gcmt.centroid.depth_error = self.data['depthError'][iloc]
if self._check_moment_tensor_components(iloc):
# Import tensor components
gcmt.moment_tensor = GCMTMomentTensor()
# Check moment tensor has all the components!
gcmt.moment_tensor.tensor = utils.COORD_SYSTEM['USE'](
self.data['mrr'][iloc],
self.data['mtt'][iloc],
self.data['mpp'][iloc],
self.data['mrt'][iloc],
self.data['mpr'][iloc],
self.data['mtp'][iloc])
gcmt.moment_tensor.tensor_sigma = np.array([[0., 0., 0.],
[0., 0., 0.],
[0., 0., 0.]])
#print gcmt.moment_tensor.tensor
# Get nodal planes
gcmt.nodal_planes = gcmt.moment_tensor.get_nodal_planes()
gcmt.principal_axes = gcmt.moment_tensor.get_principal_axes()
# Done - append to catalogue
self.gcmt_catalogue.gcmts.append(gcmt)
return self.gcmt_catalogue
def write_to_gcmt_class(self):
"""
Exports the catalogue to an instance of the :class:
eqcat.gcmt_catalogue.GCMTCatalogue
"""
for iloc in range(0, self.get_number_events()):
#print iloc
gcmt = GCMTEvent()
gcmt.identifier = self.data['eventID'][iloc]
gcmt.magnitude = self.data['magnitude'][iloc]
# Get moment plus scaling
if not np.isnan(self.data['moment'][iloc]):
scaling = float(self.data['scaling'][iloc])
gcmt.moment = self.data['moment'][iloc] * (10. ** scaling)
gcmt.metadata = {'Agency': self.data['Agency'][iloc],
'source': self.data['source'][iloc]}
# Get the hypocentre
gcmt.hypocentre = GCMTHypocentre()
gcmt.hypocentre.source = self.data['source'][iloc]
gcmt.hypocentre.date = datetime.date(self.data['year'][iloc],
self.data['month'][iloc],
self.data['day'][iloc])
second = self.data['second'][iloc]
microseconds = int((second - floor(second)) * 1000000)
gcmt.hypocentre.time = datetime.time(self.data['hour'][iloc],
self.data['minute'][iloc],
int(floor(second)),
microseconds)
gcmt.hypocentre.longitude = self.data['longitude'][iloc]
gcmt.hypocentre.latitude = self.data['latitude'][iloc]
setattr(gcmt.hypocentre,
'semi_major_90',
self.data['SemiMajor90'][iloc])
setattr(gcmt.hypocentre,
'semi_minor_90',
self.data['SemiMinor90'][iloc])
setattr(gcmt.hypocentre,
'error_strike',
self.data['ErrorStrike'][iloc])
# Get the centroid - basically just copying across the hypocentre
gcmt.centroid = GCMTCentroid(gcmt.hypocentre.date,
gcmt.hypocentre.time)
gcmt.centroid.longitude = gcmt.hypocentre.longitude
gcmt.centroid.latitude = gcmt.hypocentre.latitude
gcmt.centroid.depth = gcmt.hypocentre.depth
gcmt.centroid.depth_error = self.data['depthError'][iloc]
if self._check_moment_tensor_components(iloc):
# Import tensor components
gcmt.moment_tensor = GCMTMomentTensor()
# Check moment tensor has all the components!
gcmt.moment_tensor.tensor = utils.COORD_SYSTEM['USE'](
self.data['mrr'][iloc],
self.data['mtt'][iloc],
self.data['mpp'][iloc],
self.data['mrt'][iloc],
self.data['mpr'][iloc],
self.data['mtp'][iloc])
gcmt.moment_tensor.tensor_sigma = np.array([[0., 0., 0.],
[0., 0., 0.],
[0., 0., 0.]])
#print gcmt.moment_tensor.tensor
# Get nodal planes
gcmt.nodal_planes = gcmt.moment_tensor.get_nodal_planes()
gcmt.principal_axes = gcmt.moment_tensor.get_principal_axes()
# Done - append to catalogue
self.gcmt_catalogue.gcmts.append(gcmt)
return self.gcmt_catalogue
