gemgis.visualization.create_depth_maps_from_gempy#

gemgis.visualization.create_depth_maps_from_gempy(geo_model, surfaces: Union[str, List[str]]) → Dict[str, List[Union[pyvista.core.pointset.PolyData, numpy.ndarray, List[str]]]]#

Creating depth map of model surfaces, adapted from https://github.com/cgre-aachen/gempy/blob/20550fffdd1ccb3c6a9a402bc162e7eed3dd7352/gempy/plot/vista.py#L440-L477

Parameters

  • geo_model (gp.core.model.Project) – Previously calculated GemPy Model

  • surfaces (Union[str, List[str]]) – Name of the surface or list with surface names of which the depth maps are created, e.g. surfaces=['Layer1', 'Layer2']

Returns

surfaces_poly – Dict containing the mesh data, depth data and color data for selected surfaces

Return type

Dict[str, List[Union[pv.core.pointset.PolyData, np.ndarray, List[str]]]]

New in version 1.0.x.

Changed in version 1.1.8: Ensure compatibility with GemPy>=3

Example

>>> # Loading Libraries and creating depth map
>>> import gemgis as gg
>>> dict_sand1 = gg.visualization.create_depth_maps(geo_model=geo_model, surfaces='Sand1')
>>> dict_sand1
{'Sand1':   [PolyData (0x2dd0f46c820)
N Cells:    4174
N Points:   2303
X Bounds:   9.720e+00, 9.623e+02
Y Bounds:   1.881e+02, 9.491e+02
Z Bounds:   3.050e+02, 7.250e+02
N Arrays:   1,
'#015482']}

See also

create_depth_map

Creating depth map from PolyData dataset

create_thickness_maps

Creating thickness map from PolyData datasets

create_temperature_map

Creating temperature map from PolyData datasets