evo.objects.typed.tensor_grid.Tensor3DGrid
A GeoscienceObject representing a tensor 3D grid.
A tensor grid is a 3D grid where cells may have different sizes. The grid is defined by an origin, the number of cells in each direction, and arrays of cell sizes along each axis. The grid contains datasets for both cells and vertices.
attributes
attributes: 'Attributes'
The cell attributes of this grid (alias for cells.attributes).
vertex_attributes
vertex_attributes: 'Attributes'
The vertex attributes of this grid.
compute_bounding_box
compute_bounding_box() -> BoundingBox
Compute the bounding box from the grid properties.
to_dataframe
to_dataframe(*keys: str, fb: IFeedback = NoFeedback) -> pd.DataFrame
Get a dataframe containing the cell attributes.
Parameters:
| Name | Type | Description | Default |
|---|---|---|---|
keys
|
str
|
Optional list of attribute keys to include. If not provided, all attributes are included. |
()
|
fb
|
IFeedback
|
Optional feedback object to report download progress. |
NoFeedback
|
Returns:
| Type | Description |
|---|---|
DataFrame
|
A DataFrame with cell attribute columns. |