gempy.core.data.GeoModel

class gempy.core.data.GeoModel(*, meta: GeoModelMeta, structural_frame: StructuralFrame, grid: Grid = None, geophysics_input: GeophysicsInput = None, input_transform: Transform = None, interpolation_grid: EngineGrid = None)

Class representing a geological model.

Examples using gempy.core.data.GeoModel

1.4: Unconformity relationships

1.4: Unconformity relationships

Video Tutorial “code-along”: Onlap relations

Video Tutorial "code-along": Onlap relations

GemPy Models - Some More Complex Examples

GemPy Models - Some More Complex Examples

Model of Ales, France: Plotting Sections and Maps

Model of Ales, France: Plotting Sections and Maps

Geomodeling benchmark: the “Hecho”-Model

Geomodeling benchmark: the "Hecho"-Model

Geomodeling benchmark: the “Moureze”-Model

Geomodeling benchmark: the "Moureze"-Model

A geological model of the Perth basin, Australia

A geological model of the Perth basin, Australia

Methods

__init__(**data)	Create a new model by parsing and validating input data from keyword arguments.
add_surface_points(X, Y, Z, surface[, nugget])
construct([_fields_set])
copy(*[, include, exclude, update, deep])	Returns a copy of the model.
deserialize_properties(data, constructor)
dict(*[, include, exclude, by_alias, ...])
from_args(name, structural_frame, grid, ...)
from_orm(obj)
json(*[, include, exclude, by_alias, ...])
model_construct([_fields_set])	Creates a new instance of the Model class with validated data.
model_copy(*[, update, deep])	!!! abstract "Usage Documentation"
model_dump(*[, mode, include, exclude, ...])	!!! abstract "Usage Documentation"
model_dump_json(*[, indent, include, ...])	!!! abstract "Usage Documentation"
model_json_schema([by_alias, ref_template, ...])	Generates a JSON schema for a model class.
model_parametrized_name(params)	Compute the class name for parametrizations of generic classes.
model_post_init(context, /)	This function is meant to behave like a BaseModel method to initialise private attributes.
model_rebuild(*[, force, raise_errors, ...])	Try to rebuild the pydantic-core schema for the model.
model_validate(obj, *[, strict, ...])	Validate a pydantic model instance.
model_validate_json(json_data, *[, strict, ...])	!!! abstract "Usage Documentation"
model_validate_strings(obj, *[, strict, ...])	Validate the given object with string data against the Pydantic model.
parse_file(path, *[, content_type, ...])
parse_obj(obj)
parse_raw(b, *[, content_type, encoding, ...])
schema([by_alias, ref_template])
schema_json(*[, by_alias, ref_template])
update_forward_refs(**localns)
update_transform([auto_anisotropy, ...])	Update the transformation of the geological model.
validate(value)

Attributes

extent_transformed_transformed_by_input
input_data_descriptor
interpolation_input_copy
interpolation_options
model_computed_fields
model_config	Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].
model_extra	Get extra fields set during validation.
model_fields
model_fields_set	Returns the set of fields that have been explicitly set on this model instance.
orientations
orientations_copy	This is a copy! Returns a OrientationsTable for all orientations across the structural elements
orientations_copy_transformed
project_bounds
regular_grid_coordinates
regular_grid_coordinates_transformed
solutions
surface_points
surface_points_copy	This is a copy! Returns a SurfacePointsTable for all surface points across the structural elements
surface_points_copy_transformed
taped_interpolation_input
meta	Meta-information about the geological model, like its name, creation and modification dates, and owner.
structural_frame	The structural information of the geological model.
grid	The general grid used in the geological model.
geophysics_input	The geophysics input of the geological model.
input_transform	The transformation used in the geological model for input points.
interpolation_grid	ptional grid used for interpolation.

meta: GeoModelMeta

Meta-information about the geological model, like its name, creation and modification dates, and owner.

structural_frame: StructuralFrame

The structural information of the geological model.

grid: Grid

The general grid used in the geological model.

geophysics_input: GeophysicsInput

The geophysics input of the geological model.

input_transform: Transform

The transformation used in the geological model for input points.

interpolation_grid: EngineGrid

ptional grid used for interpolation. Can be seen as a cache field.

property surface_points_copy

This is a copy! Returns a SurfacePointsTable for all surface points across the structural elements

property orientations_copy: OrientationsTable

This is a copy! Returns a OrientationsTable for all orientations across the structural elements

model_post_init(context: Any, /) → None

This function is meant to behave like a BaseModel method to initialise private attributes.

It takes context as an argument since that’s what pydantic-core passes when calling it.

Parameters:

• self – The BaseModel instance.

• context – The context.

update_transform(auto_anisotropy: GlobalAnisotropy = GlobalAnisotropy.NONE, anisotropy_limit: ndarray | None = None)

Update the transformation of the geological model.

This function updates the transformation of the geological model using the provided surface points and orientations. It also applies anisotropy based on the specified type and limit.

Parameters:

• auto_anisotropy (GlobalAnisotropy) – The type of anisotropy to apply. Defaults to GlobalAnisotropy.NONE.

• anisotropy_limit (Optional[np.ndarray]) – Anisotropy limit values. If None, no limit is applied.

model_config: ClassVar[ConfigDict] = {'arbitrary_types_allowed': True, 'json_encoders': {<class 'numpy.ndarray'>: <function encode_numpy_array>}, 'use_enum_values': False}

Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].