def from_config(cls, stream, config=None, event=None):
"""
Args:
stream (obspy.core.stream.Stream): Strong motion timeseries
for one station.
event (ScalarEvent):
Object containing latitude, longitude, depth, and magnitude.
config (dictionary): Configuration dictionary.
Note:
Assumes a processed stream with units of gal (1 cm/s^2).
No processing is done by this class.
"""
if config is None:
config = get_config()
station = cls()
damping = config['metrics']['sa']['damping']
smoothing = config['metrics']['fas']['smoothing']
bandwidth = config['metrics']['fas']['bandwidth']
station._damping = damping
station._smoothing = smoothing
station._bandwidth = bandwidth
station._stream = stream
station.event = event
station.set_metadata()
metrics = MetricsController.from_config(stream,
config=config,
event=event)
pgms = metrics.pgms
if pgms is None:
station._components = metrics.imcs
station._imts = metrics.imts
station.pgms = pd.DataFrame.from_dict({
'IMT': [],
'IMC': [],
'Result': []
})
else:
station._components = set(pgms['IMC'].tolist())
station._imts = set(pgms['IMT'].tolist())
station.pgms = pgms
station._summary = station.get_summary()
return station
def from_config(cls, stream, config=None, event=None):
"""
Args:
stream (obspy.core.stream.Stream): Strong motion timeseries
for one station.
event (ScalarEvent):
Object containing latitude, longitude, depth, and magnitude.
config (dictionary): Configuration dictionary.
Note:
Assumes a processed stream with units of gal (1 cm/s^2).
No processing is done by this class.
"""
if config is None:
config = get_config()
station = cls()
damping = config['metrics']['sa']['damping']
smoothing = config['metrics']['fas']['smoothing']
bandwidth = config['metrics']['fas']['bandwidth']
station._damping = damping
station._smoothing = smoothing
station._bandwidth = bandwidth
station._stream = stream
station.event = event
station.set_metadata()
metrics = MetricsController.from_config(stream, config=config,
event=event)
pgms = metrics.pgms
if pgms is None:
station._components = metrics.imcs
station._imts = metrics.imts
station.pgms = pd.DataFrame.from_dict({
'IMT': [],
'IMC': [],
'Result': []
})
else:
station._components = set(pgms['IMC'].tolist())
station._imts = set(pgms['IMT'].tolist())
station.pgms = pgms
station._summary = station.get_summary()
return station
def from_config(cls,
stream,
config=None,
event=None,
calc_waveform_metrics=True,
calc_station_metrics=True,
rupture=None,
vs30_grids=None):
"""
Args:
stream (obspy.core.stream.Stream): Strong motion timeseries
for one station.
config (dictionary): Configuration dictionary.
event (ScalarEvent):
Object containing latitude, longitude, depth, and magnitude.
calc_waveform_metrics (bool):
Whether to calculate waveform metrics. Default is True.
calc_station_metrics (bool):
Whether to calculate station metrics. Default is True.
rupture (PointRupture or QuadRupture):
impactutils rupture object. Default is None.
vs30_grids (dict):
A dictionary containing the vs30 grid files, names, and
descriptions (see config).
Note:
Assumes a processed stream with units of gal (1 cm/s^2).
No processing is done by this class.
"""
if config is None:
config = get_config()
station = cls()
damping = config['metrics']['sa']['damping']
smoothing = config['metrics']['fas']['smoothing']
bandwidth = config['metrics']['fas']['bandwidth']
station._damping = damping
station._smoothing = smoothing
station._bandwidth = bandwidth
station._stream = stream
station.event = event
station.set_metadata()
if stream.passed and calc_waveform_metrics:
metrics = MetricsController.from_config(stream,
config=config,
event=event)
station.channel_dict = metrics.channel_dict.copy()
pgms = metrics.pgms
if pgms is None:
station._components = metrics.imcs
station._imts = metrics.imts
station.pgms = pd.DataFrame.from_dict({
'IMT': [],
'IMC': [],
'Result': []
})
else:
station._components = set(pgms.index.get_level_values('IMC'))
station._imts = set(pgms.index.get_level_values('IMT'))
station.pgms = pgms
if calc_station_metrics:
station.compute_station_metrics(rupture, vs30_grids)
return station