from __future__ import (absolute_import, division, print_function,
unicode_literals)
from future.builtins import * # NOQA
import numpy as np
from obspy.core.event.base import (
_event_type_class_factory, ResourceIdentifier, CreationInfo)
from obspy.core.event.header import (
EvaluationMode, EvaluationStatus, MomentTensorCategory, MTInversionType,
SourceTimeFunctionType, ATTRIBUTE_HAS_ERRORS)
__Axis = _event_type_class_factory(
"__Axis",
class_attributes=[("azimuth", float, ATTRIBUTE_HAS_ERRORS),
("plunge", float, ATTRIBUTE_HAS_ERRORS),
("length", float, ATTRIBUTE_HAS_ERRORS)])
class Axis(__Axis):
"""
This class describes an eigenvector of a moment tensor expressed in its
principal-axes system. It uses the angles azimuth, plunge, and the
eigenvalue length.
:type azimuth: float
:param azimuth: Azimuth of eigenvector of moment tensor expressed in
principal-axes system. Measured clockwise from South-North direction at
epicenter. Unit: deg
:type azimuth_errors: :class:`~obspy.core.event.base.QuantityError`
from obspy import UTCDateTime
from obspy.core.event.base import (
_event_type_class_factory, ResourceIdentifier, CreationInfo,
WaveformStreamID, TimeWindow)
from obspy.core.event.header import (
AmplitudeCategory, AmplitudeUnit, EvaluationMode, EvaluationStatus,
ATTRIBUTE_HAS_ERRORS)
__Magnitude = _event_type_class_factory(
"__Magnitude",
class_attributes=[("resource_id", ResourceIdentifier),
("mag", float, ATTRIBUTE_HAS_ERRORS),
("magnitude_type", str),
("origin_id", ResourceIdentifier),
("method_id", ResourceIdentifier),
("station_count", int),
("azimuthal_gap", float),
("evaluation_mode", EvaluationMode),
("evaluation_status", EvaluationStatus),
("creation_info", CreationInfo)],
class_contains=["comments", "station_magnitude_contributions"])
class Magnitude(__Magnitude):
"""
Describes a magnitude which can, but does not need to be associated with an
origin.
Association with an origin is expressed with the optional attribute
originID. It is either a combination of different magnitude estimations, or
from obspy import UTCDateTime
from obspy.core.event.base import (
_event_type_class_factory, ResourceIdentifier, CreationInfo,
WaveformStreamID, ConfidenceEllipsoid)
from obspy.core.event.header import (
EvaluationMode, EvaluationStatus, OriginDepthType, OriginType,
OriginUncertaintyDescription, PickOnset, PickPolarity,
ATTRIBUTE_HAS_ERRORS)
__OriginUncertainty = _event_type_class_factory(
"__OriginUncertainty",
class_attributes=[("horizontal_uncertainty", float),
("min_horizontal_uncertainty", float),
("max_horizontal_uncertainty", float),
("azimuth_max_horizontal_uncertainty", float),
("confidence_ellipsoid", ConfidenceEllipsoid),
("preferred_description", OriginUncertaintyDescription),
("confidence_level", float)])
class OriginUncertainty(__OriginUncertainty):
"""
This class describes the location uncertainties of an origin.
The uncertainty can be described either as a simple circular horizontal
uncertainty, an uncertainty ellipse according to IMS1.0, or a confidence
ellipsoid. If multiple uncertainty models are given, the preferred variant
can be specified in the attribute ``preferred_description``.
from future.builtins import * # NOQA
from obspy import UTCDateTime
from obspy.core.event.base import (_event_type_class_factory,
ResourceIdentifier, CreationInfo,
WaveformStreamID, ConfidenceEllipsoid)
from obspy.core.event.header import (EvaluationMode, EvaluationStatus,
OriginDepthType, OriginType,
OriginUncertaintyDescription, PickOnset,
PickPolarity, ATTRIBUTE_HAS_ERRORS)
__OriginUncertainty = _event_type_class_factory(
"__OriginUncertainty",
class_attributes=[("horizontal_uncertainty", float),
("min_horizontal_uncertainty", float),
("max_horizontal_uncertainty", float),
("azimuth_max_horizontal_uncertainty", float),
("confidence_ellipsoid", ConfidenceEllipsoid),
("preferred_description", OriginUncertaintyDescription),
("confidence_level", float)])
class OriginUncertainty(__OriginUncertainty):
"""
This class describes the location uncertainties of an origin.
The uncertainty can be described either as a simple circular horizontal
uncertainty, an uncertainty ellipse according to IMS1.0, or a confidence
ellipsoid. If multiple uncertainty models are given, the preferred variant
can be specified in the attribute ``preferred_description``.
