gempy.core.data.Transform

class gempy.core.data.Transform(position: typing.Annotated[numpy.ndarray, BeforeValidator(func=<function <lambda> at 0x7fbd0cb9b400>, json_schema_input_type=PydanticUndefined)], rotation: typing.Annotated[numpy.ndarray, BeforeValidator(func=<function <lambda> at 0x7fbd0cb9b400>, json_schema_input_type=PydanticUndefined)], scale: typing.Annotated[numpy.ndarray, BeforeValidator(func=<function <lambda> at 0x7fbd0cb9b400>, json_schema_input_type=PydanticUndefined)], _is_default_transform: bool = False, _cached_pivot: Optional[Annotated[numpy.ndarray, BeforeValidator(func=<function <lambda> at 0x7fbd0cb9b400>, json_schema_input_type=PydanticUndefined)]] = None)[source]

Methods

__init__(position, rotation, scale[, ...])

apply(points[, transform_op_order])

apply_anisotropy(anisotropy_type[, ...])

apply_inverse(points[, transform_op_order])

apply_inverse_with_cached_pivot(points[, ...])

apply_inverse_with_pivot(points, pivot[, ...])

apply_with_cached_pivot(points[, ...])

apply_with_pivot(points, pivot[, ...])

These are used for ellipsoids for finite faults

from_input_points(surface_points, orientations)

from_matrix(matrix)

get_transform_matrix([transform_type])

init_neutral()

scale_points(points)

transform_gradient(gradients[, ...])

Attributes

cached_pivot

isometric_scale

position

rotation

scale

apply_with_pivot(points: ndarray, pivot: ndarray, transform_op_order: TransformOpsOrder = TransformOpsOrder.SRT)[source]

These are used for ellipsoids for finite faults

__init__(position: ~numpy.Annotated[~numpy.ndarray, ~pydantic.functional_validators.BeforeValidator(func=~gempy_engine.core.data.encoders.converters.<lambda>, json_schema_input_type=PydanticUndefined)], rotation: ~numpy.Annotated[~numpy.ndarray, ~pydantic.functional_validators.BeforeValidator(func=~gempy_engine.core.data.encoders.converters.<lambda>, json_schema_input_type=PydanticUndefined)], scale: ~numpy.Annotated[~numpy.ndarray, ~pydantic.functional_validators.BeforeValidator(func=~gempy_engine.core.data.encoders.converters.<lambda>, json_schema_input_type=PydanticUndefined)], _is_default_transform: bool = False, _cached_pivot: ~numpy.Annotated[~numpy.ndarray, ~pydantic.functional_validators.BeforeValidator(func=~gempy_engine.core.data.encoders.converters.<lambda>, json_schema_input_type=PydanticUndefined)] | None = None) → None