ogstools.meshlib.data_processing module#

ogstools.meshlib.data_processing.difference(mesh1, mesh2, mesh_property=None)[source]#

Compute the difference of properties between two meshes.

Parameters:
  • mesh1 (UnstructuredGrid) – The first mesh to be subtracted from.

  • mesh2 (UnstructuredGrid) – The second mesh whose data is subtracted from the first mesh.

  • mesh_property (Property | str | None) – The property of interest. If not given, all point and cell_data will be processed raw.

Returns:

A new mesh containing the difference of mesh_property or all datasets between mesh1 and mesh2.

Return type:

UnstructuredGrid

ogstools.meshlib.data_processing.difference_pairwise(meshes_1, meshes_2, mesh_property=None)[source]#

Compute pairwise difference between meshes from two lists/arrays (they have to be of the same length).

Parameters:
  • meshes_1 (list | ndarray) – The first list/array of meshes to be subtracted from.

  • meshes_2 (list | ndarray) – The second list/array of meshes whose data is subtracted from the first list/array of meshes - meshes_1.

  • mesh_property (Property | str | None) – The property of interest. If not given, all point and cell_data will be processed raw.

Returns:

An array of meshes containing the differences of mesh_property or all datasets between meshes_1 and meshes_2.

Return type:

ndarray

ogstools.meshlib.data_processing.difference_matrix(meshes_1, meshes_2=None, mesh_property=None)[source]#

Compute the difference between all combinations of two meshes from one or two arrays based on a specified property.

Parameters:
  • meshes_1 (list | ndarray) – The first list/array of meshes to be subtracted from.

  • meshes_2 (list | ndarray | None) – The second list/array of meshes, it is subtracted from the first list/array of meshes - meshes_1 (optional).

  • mesh_property (Property | str | None) – The property of interest. If not given, all point and cell_data will be processed raw.

Returns:

An array of meshes containing the differences of mesh_property or all datasets between meshes_1 and meshes_2 for all possible combinations.

Return type:

ndarray