def get_phase_dataframe(detail, catalog='preferred'):
"""Return a Pandas DataFrame consisting of Phase arrival data.
Args:
detail (DetailEvent): DetailEvent object.
catalog (str): Source network ('us','ak', etc. ,or 'preferred'.)
Returns:
DataFrame: Pandas DataFrame containing columns:
- Channel: Network.Station.Channel.Location (NSCL) style station
description. ("--" indicates missing information)
- Distance: Distance (kilometers) from epicenter to station.
- Azimuth: Azimuth (degrees) from epicenter to station.
- Phase: Name of the phase (Pn,Pg, etc.)
- Arrival Time: Pick arrival time (UTC).
- Status: "manual" or "automatic".
- Residual: Arrival time residual.
- Weight: Arrival weight.
- Agency: Agency ID.
Raises:
AttributeError: If input DetailEvent does not have a phase-data product
for the input catalog.
"""
if catalog is None:
catalog = 'preferred'
df = pd.DataFrame(columns=[
'Channel', 'Distance', 'Azimuth', 'Phase', 'Arrival Time', 'Status',
'Residual', 'Weight', 'Agency'
])
phasedata = detail.getProducts('phase-data', source=catalog)[0]
quakeurl = phasedata.getContentURL('quakeml.xml')
try:
fh = urlopen(quakeurl, timeout=TIMEOUT)
data = fh.read()
fh.close()
except Exception:
return None
unpickler = Unpickler()
with warnings.catch_warnings():
warnings.filterwarnings("ignore", category=UserWarning)
catalog = unpickler.loads(data)
catevent = catalog.events[0]
for pick in catevent.picks:
phaserow = _get_phaserow(pick, catevent)
if phaserow is None:
continue
df = df.append(phaserow, ignore_index=True)
return df
def get_phase_dataframe(detail, catalog='preferred'):
"""Return a Pandas DataFrame consisting of Phase arrival data.
Args:
detail (DetailEvent): DetailEvent object.
catalog (str): Source network ('us','ak', etc. ,or 'preferred'.)
Returns:
DataFrame: Pandas DataFrame containing columns:
- Channel: Network.Station.Channel.Location (NSCL) style station
description. ("--" indicates missing information)
- Distance: Distance (kilometers) from epicenter to station.
- Azimuth: Azimuth (degrees) from epicenter to station.
- Phase: Name of the phase (Pn,Pg, etc.)
- Arrival Time: Pick arrival time (UTC).
- Status: "manual" or "automatic".
- Residual: Arrival time residual.
- Weight: Arrival weight.
- Agency: Agency ID.
Raises:
AttributeError: If input DetailEvent does not have a phase-data product
for the input catalog.
"""
if catalog is None:
catalog = 'preferred'
df = pd.DataFrame(columns=['Channel', 'Distance', 'Azimuth',
'Phase', 'Arrival Time', 'Status',
'Residual', 'Weight', 'Agency'])
phasedata = detail.getProducts('phase-data', source=catalog)[0]
quakeurl = phasedata.getContentURL('quakeml.xml')
try:
fh = urlopen(quakeurl, timeout=TIMEOUT)
data = fh.read()
fh.close()
except Exception:
return None
unpickler = Unpickler()
with warnings.catch_warnings():
warnings.filterwarnings("ignore", category=UserWarning)
catalog = unpickler.loads(data)
catevent = catalog.events[0]
for pick in catevent.picks:
phaserow = _get_phaserow(pick, catevent)
if phaserow is None:
continue
df = df.append(phaserow, ignore_index=True)
return df
def get_magnitude_data_frame(detail, catalog, magtype):
"""Return a Pandas DataFrame consisting of magnitude data.
Args:
detail (DetailEvent): DetailEvent object.
catalog (str): Source catalog ('us','ak', etc. ,or 'preferred'.)
magtype (str): Magnitude type (mb, ml, etc.)
Returns:
DataFrame: Pandas DataFrame containing columns:
- Channel: Network.Station.Channel.Location (NSCL) style station
description. ("--" indicates missing information)
- Type: Magnitude type.
- Amplitude: Amplitude of seismic wave at each station (m).
- Period: Period of seismic wave at each station (s).
- Status: "manual" or "automatic".
- Magnitude: Locally determined magnitude.
- Weight: Magnitude weight.
Raises:
AttributeError if input DetailEvent does not have a phase-data product
for the input catalog.
"""
columns = columns = [
'Channel', 'Type', 'Amplitude', 'Period', 'Status', 'Magnitude',
'Weight'
]
df = pd.DataFrame(columns=columns)
phasedata = detail.getProducts('phase-data', source=catalog)[0]
quakeurl = phasedata.getContentURL('quakeml.xml')
try:
fh = urlopen(quakeurl, timeout=TIMEOUT)
data = fh.read()
fh.close()
except Exception:
return None
fmt = '%s.%s.%s.%s'
unpickler = Unpickler()
with warnings.catch_warnings():
warnings.filterwarnings("ignore", category=UserWarning)
catalog = unpickler.loads(data)
catevent = catalog.events[0] # match this to input catalog
for magnitude in catevent.magnitudes:
if magnitude.magnitude_type.lower() != magtype.lower():
continue
for contribution in magnitude.station_magnitude_contributions:
row = {}
smag = contribution.station_magnitude_id.get_referred_object()
ampid = smag.amplitude_id
amp = None
if ampid is None:
waveid = smag.waveform_id
tpl = (waveid.network_code, waveid.station_code, '--',
'--')
else:
amp = ampid.get_referred_object()
if amp is None:
waveid = smag.waveform_id
tpl = (waveid.network_code, waveid.station_code, '--',
'--')
else:
waveid = amp.waveform_id
tpl = (waveid.network_code, waveid.station_code,
waveid.channel_code, waveid.location_code)
row['Channel'] = fmt % tpl
row['Type'] = smag.station_magnitude_type
if amp is not None:
row['Amplitude'] = amp.generic_amplitude
row['Period'] = amp.period
row['Status'] = amp.evaluation_mode
else:
row['Amplitude'] = np.nan
row['Period'] = np.nan
row['Status'] = 'automatic'
row['Magnitude'] = smag.mag
row['Weight'] = contribution.weight
df = df.append(row, ignore_index=True)
df = df[columns]
return df
def get_magnitude_data_frame(detail, catalog, magtype):
"""Return a Pandas DataFrame consisting of magnitude data.
Args:
detail (DetailEvent): DetailEvent object.
catalog (str): Source catalog ('us','ak', etc. ,or 'preferred'.)
magtype (str): Magnitude type (mb, ml, etc.)
Returns:
DataFrame: Pandas DataFrame containing columns:
- Channel: Network.Station.Channel.Location (NSCL) style station
description. ("--" indicates missing information)
- Type: Magnitude type.
- Amplitude: Amplitude of seismic wave at each station (m).
- Period: Period of seismic wave at each station (s).
- Status: "manual" or "automatic".
- Magnitude: Locally determined magnitude.
- Weight: Magnitude weight.
Raises:
AttributeError if input DetailEvent does not have a phase-data product
for the input catalog.
"""
columns = columns = ['Channel', 'Type', 'Amplitude',
'Period', 'Status', 'Magnitude',
'Weight']
df = pd.DataFrame(columns=columns)
phasedata = detail.getProducts('phase-data', source=catalog)[0]
quakeurl = phasedata.getContentURL('quakeml.xml')
try:
fh = urlopen(quakeurl, timeout=TIMEOUT)
data = fh.read()
fh.close()
except Exception:
return None
fmt = '%s.%s.%s.%s'
unpickler = Unpickler()
with warnings.catch_warnings():
warnings.filterwarnings("ignore", category=UserWarning)
catalog = unpickler.loads(data)
catevent = catalog.events[0] # match this to input catalog
for magnitude in catevent.magnitudes:
if magnitude.magnitude_type.lower() != magtype.lower():
continue
for contribution in magnitude.station_magnitude_contributions:
row = {}
smag = contribution.station_magnitude_id.get_referred_object()
ampid = smag.amplitude_id
amp = None
if ampid is None:
waveid = smag.waveform_id
tpl = (waveid.network_code,
waveid.station_code,
'--',
'--')
else:
amp = ampid.get_referred_object()
if amp is None:
waveid = smag.waveform_id
tpl = (waveid.network_code,
waveid.station_code,
'--',
'--')
else:
waveid = amp.waveform_id
tpl = (waveid.network_code,
waveid.station_code,
waveid.channel_code,
waveid.location_code)
row['Channel'] = fmt % tpl
row['Type'] = smag.station_magnitude_type
if amp is not None:
row['Amplitude'] = amp.generic_amplitude
row['Period'] = amp.period
row['Status'] = amp.evaluation_mode
else:
row['Amplitude'] = np.nan
row['Period'] = np.nan
row['Status'] = 'automatic'
row['Magnitude'] = smag.mag
row['Weight'] = contribution.weight
df = df.append(row, ignore_index=True)
df = df[columns]
return df