LoopStructural.modelling.ProcessInputData#

class LoopStructural.modelling.ProcessInputData(contacts=None, contact_orientations=None, stratigraphic_order=None, fault_orientations=None, fault_locations=None, fault_properties=None, fault_edges=None, intrusions=None, fault_stratigraphy=None, thicknesses=None, colours=None, use_thickness=None, fault_edge_properties=None, origin=None, maximum=None)#

Bases: object

Object to generate loopstructural input dataset from a geological map

Parameters:

contacts (DataFrame) – x,y,z,name for each contact
contact_orientations (DataFrame) – x,y,z,strike,dip,name for each contact
stratigraphic_order (nested list) – a nested list e.g. [[‘a’,’b’,’c’],[‘d’,’e’]] a->b->c are the youngest supergroup, d->e older.
fault_orientations (DataFrame, optional) – data frame with x,y,z,strike,fault_name, by default None
fault_locations (DataFrame, optional) – data frame with x,y,z,fault_name, by default None
fault_properties (DataFrame, optional) – dataframe with properties used for building fault
fault_edges (list, optional) – intersections between faults, by default None
intrusions (list, optional) – list containing any intrusions, assumes data in contacts/orientations, by default None
fault_stratigraphy (graph, optional) – fault stratigraphy intersection, by default None
thicknesses (dict, optional) – dictionary with stratigraphic thicknesses, by default None
colours (dict, optional) – dictionary with stratigraphic unit colours, by default None
use_thickness (bool, optional) – assign value to stratigraphic unit or use interface constraints, by default None

Notes

The processor will generate the best possible data set given the input data. If you only want to build a fault network then only fault locations, orientations edges and properties are required

__init__(contacts=None, contact_orientations=None, stratigraphic_order=None, fault_orientations=None, fault_locations=None, fault_properties=None, fault_edges=None, intrusions=None, fault_stratigraphy=None, thicknesses=None, colours=None, use_thickness=None, fault_edge_properties=None, origin=None, maximum=None)#

Object to generate loopstructural input dataset from a geological map

Parameters:

contacts (DataFrame) – x,y,z,name for each contact
contact_orientations (DataFrame) – x,y,z,strike,dip,name for each contact
stratigraphic_order (nested list) – a nested list e.g. [[‘a’,’b’,’c’],[‘d’,’e’]] a->b->c are the youngest supergroup, d->e older.
fault_orientations (DataFrame, optional) – data frame with x,y,z,strike,fault_name, by default None
fault_locations (DataFrame, optional) – data frame with x,y,z,fault_name, by default None
fault_properties (DataFrame, optional) – dataframe with properties used for building fault
fault_edges (list, optional) – intersections between faults, by default None
intrusions (list, optional) – list containing any intrusions, assumes data in contacts/orientations, by default None
fault_stratigraphy (graph, optional) – fault stratigraphy intersection, by default None
thicknesses (dict, optional) – dictionary with stratigraphic thicknesses, by default None
colours (dict, optional) – dictionary with stratigraphic unit colours, by default None
use_thickness (bool, optional) – assign value to stratigraphic unit or use interface constraints, by default None

Notes

The processor will generate the best possible data set given the input data. If you only want to build a fault network then only fault locations, orientations edges and properties are required

Methods

`__init__`([contacts, contact_orientations, ...])	Object to generate loopstructural input dataset from a geological map
`fault_interesections_angle`(fault1, fault2)
`set_fault_network`(edges[, edge_properties])
`stratigraphy_cmap`([supergroup])	create a colour map for the stratigraphy scalar field this is stretched to account for unit thicknesses

Attributes

`colours`
`contact_orientations`
`contacts`
`data`	This is the main function that does all the work, should be called before any of the calculated attributes are accessed
`fault_locations`
`fault_names`
`fault_network`
`fault_orientations`
`fault_properties`
`fault_stratigraphy`
`foliation_properties`
`maximum`
`origin`
`stratigraphic_column`
`stratigraphic_name`
`stratigraphic_order`
`thicknesses`
`vector_scale`

property data#: This is the main function that does all the work, should be called before any of the calculated attributes are accessed

stratigraphy_cmap(supergroup='supergroup_0')#

create a colour map for the stratigraphy scalar field this is stretched to account for unit thicknesses

Parameters:: supergroup (string, optional) – name of the geological feature to creat this cmap of, by default ‘supergroup_0’
Returns:: dict – containing a colourmap, minimum value for the scalar field and maximum value for the scalar field

Examples

Add a isosurfaces to the model coloured by the map colours

>>> model, processor = GeologicalModel.from_map2loop_directory(directory)
>>> view = LavaVuModelViewer(model)
>>> view.add_isosurface(model['supergroup_0'],**processor.stratigraphy_cmap('supergroup_0'))
>>> view.interactive()

Raises:

ImportError – matplotlib not installed
ValueError – supergroup not in stratigraphic column