finam.UnstructuredPoints#

class finam.UnstructuredPoints(points, order='C', axes_names=None, crs=None)[source]#

Bases: UnstructuredGrid

Unstructured points without cells.

Parameters:

points (arraylike) – Points (n, dim) defining the grid.
order (str, optional) – Data ordering. Either Fortran-like (“F”) or C-like (“C”), by default “C”
axes_names (list of str or None, optional) – Axes names (in xyz order), by default [“x”, “y”, “z”]
crs (str or None, optional) – The coordinate reference system, by default None

Attributes:

axes_names: list of str: Axes names (xyz order).
cell_centers: np.ndarray: Grid cell centers.
cell_count: int: Number of grid cells.
cell_node_counts: np.ndarray: Node count for each cell.
cell_types: np.ndarray: Cell types.
cells: np.ndarray: Cell nodes in ESMF format.
cells_connectivity: np.ndarray: Cells connectivity in ESMF format (list of node IDs).
cells_definition: np.ndarray: Cell definition in VTK format (list of number of nodes with node IDs).
cells_offset: np.ndarray: The location of the start of each cell in cells_connectivity.
crs: The coordinate reference system.
data_axes_names: list of str: Axes names of the data.
data_location: Location of the associated data (either CELLS or POINTS).
data_points: Points of the associated data (either cell_centers or points).
data_shape: np.ndarray: Grid points.
data_size: int: Size of the associated data.
dim: int: Dimension of the grid.
mesh_dim: int: Maximal cell dimension.
name: Grid name.
order: str: Point, cell and data order (C-like or F-like for flatten).
point_count: int: Number of grid points.
points: np.ndarray: Grid points.

Methods

`compatible_with`(other)	Check for compatibility with other Grid.
`export_vtk`(path[, data, cell_data, ...])	Export grid and data to a VTK file.
`from_canonical`(data)	Convert canonical data to grid specific form.
`get_transform_to`(other)	Transformation between compatible grids.
`to_canonical`(data)	Convert grid specific data to canonical form.

property cell_centers#

Grid cell centers.

Type:: np.ndarray

property cell_node_counts#

Node count for each cell.

Type:: np.ndarray

property mesh_dim#

Maximal cell dimension.

Type:: int

property axes_names#

Axes names (xyz order).

Type:: list of str

property cell_count#

Number of grid cells.

Type:: int

property cell_types#

Cell types.

Type:: np.ndarray

property cells#

Cell nodes in ESMF format.

Type:: np.ndarray

property cells_connectivity#

Cells connectivity in ESMF format (list of node IDs).

Type:: np.ndarray

property cells_definition#

Cell definition in VTK format (list of number of nodes with node IDs).

Type:: np.ndarray

property cells_offset#

The location of the start of each cell in cells_connectivity.

Type:: np.ndarray

compatible_with(other)#

Check for compatibility with other Grid.

Parameters:: other (instance of Grid) – Other grid to compatibility with.
Returns:: compatibility
Return type:: bool

property crs#: The coordinate reference system.

property data_axes_names#

Axes names of the data.

Type:: list of str

property data_location#: Location of the associated data (either CELLS or POINTS).

property data_points#: Points of the associated data (either cell_centers or points).

property data_shape#

Grid points.

Type:: np.ndarray

property data_size#

Size of the associated data.

Type:: int

property dim#

Dimension of the grid.

Type:: int

export_vtk(path, data=None, cell_data=None, point_data=None, field_data=None, mesh_type='unstructured')#

Export grid and data to a VTK file.

Parameters:

path (pathlike) – File path. Suffix will be replaced according to mesh type (.vtu)
data (dict or None, optional) – Data in the corresponding shape given by name, by default None
cell_data (dict or None, optional) – Additional cell data, by default None
point_data (dict or None, optional) – Additional point data, by default None
field_data (dict or None, optional) – Additional field data, by default None
mesh_type (str, optional) – Mesh type, by default “unstructured”

Raises:

ValueError – If mesh type is not supported.

from_canonical(data)#: Convert canonical data to grid specific form.

get_transform_to(other)#: Transformation between compatible grids.

property name#: Grid name.

property order#

Point, cell and data order (C-like or F-like for flatten).

Type:: str

property point_count#

Number of grid points.

Type:: int

property points#

Grid points.

Type:: np.ndarray

to_canonical(data)#: Convert grid specific data to canonical form.