LoopStructural.modelling.Map2LoopProcessor#

class LoopStructural.modelling.Map2LoopProcessor(m2l_directory, use_thickness=None)#

Bases: ProcessInputData

Function to build a ProcessInputData object for using m2l data

Parameters:: m2l_directory (path) – path to a m2l root directory

__init__(m2l_directory, use_thickness=None)#

Function to build a ProcessInputData object for using m2l data

Parameters:: m2l_directory (path) – path to a m2l root directory

Methods

`__init__`(m2l_directory[, use_thickness])	Function to build a ProcessInputData object for using m2l data
`fault_interesections_angle`(fault1, fault2)
`process_downthrow_direction`(...)	Helper function to update the dip direction given downthrow direction
`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

process_downthrow_direction(fault_properties, fault_orientations)#

Helper function to update the dip direction given downthrow direction

Fault dip direction should point to the hanging wall

Parameters:

fault_properties (DataFrame) – data frame with fault name as index and downthrow direction and average dip_dir as columns
fault_orientations (DataFrame) – orientation data for the faults

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