def _arrivals_from_origin(origin: ev.Origin):
extras = {}
arrivals = origin.arrivals
event_dict = dict(origin_id=str(origin.resource_id),
origin_time=get_reference_time(origin))
extras.update({id(arr): event_dict for arr in arrivals})
return arrivals_to_df(origin.arrivals, extras=extras)
def __call__(
self,
time_arg: event_time_type,
time_before: Optional[float] = None,
time_after: Optional[float] = None,
*args,
**kwargs,
) -> obspy.Stream:
"""
Using a reference time, return a waveforms that encompasses that time.
Parameters
----------
time_arg
The argument that will indicate a start time. Can be a one
length events, and event, a float, or a UTCDatetime object
time_before
The time before time_arg to include in waveforms
time_after
The time after time_arg to include in waveforms
Returns
-------
obspy.Stream
"""
tbefore = to_timedelta64(time_before, default=self.time_before)
tafter = to_timedelta64(time_after, default=self.time_after)
assert (tbefore is not None) and (tafter is not None)
# get the reference time from the object
time = to_datetime64(get_reference_time(time_arg))
t1 = time - tbefore
t2 = time + tafter
return self.get_waveforms(starttime=to_utc(t1),
endtime=to_utc(t2),
**kwargs)
def _get_event_info(cat, attr):
"""Extract event_id and time for an extractor"""
extras = {}
for event in cat:
iterable = event.__dict__[attr]
if not len(iterable):
continue
event_dict = dict(event_id=str(event.resource_id),
event_time=get_reference_time(event))
extras.update({id(item): event_dict for item in iterable})
return extras
def _arrivals_from_event(event: ev.Event):
"""return a dataframe of arrivals from an event"""
cat = [event] if isinstance(event, ev.Event) else event
origins = [e.preferred_origin() for e in cat if e.preferred_origin()]
arr_list = []
for o in origins:
extras = {}
arrivals = o.arrivals
event_dict = dict(origin_id=str(o.resource_id),
origin_time=get_reference_time(o))
extras.update({id(arr): event_dict for arr in arrivals})
arrivals = arrivals_to_df(o.arrivals, extras=extras)
arr_list.append(arrivals)
if not len(arr_list):
return pd.DataFrame(columns=ARRIVAL_COLUMNS)
else:
return pd.concat(arr_list).reset_index(drop=True)
