CellType.dimension_map

class property CellType.dimension_map: MappingProxyType

Return a mapping with sets for all cell types grouped by topological dimension.

The groupings are derived from each member’s dimension.

Added in version 0.48.

Returns:

dict

Dictionary with cell dimensions 0, 1, 2,, 3 as keys, and frozen sets as values with the respective CellType members.

See also

dimension

pyvista.DataSet.max_cell_dimensionality

pyvista.DataSet.min_cell_dimensionality

pyvista.DataSet.distinct_cell_types

Examples

Download Python source code | Download Jupyter notebook

Common 2D cell types such as TRIANGLE and TRIANGLE_STRIP are in the 2D grouping.

>>> import pyvista as pv
>>> two_d = pv.CellType.dimension_map[2]
>>> pv.CellType.TRIANGLE in two_d
True
>>> pv.CellType.TRIANGLE_STRIP in two_d
True

Check whether a mesh contains only 2D cells by combining this with distinct_cell_types.

>>> mesh = pv.Sphere()
>>> mesh.distinct_cell_types <= pv.CellType.dimension_map[2]
True

Show all 0D cell types.

>>> sorted(pv.CellType.dimension_map[0])
[<CellType.EMPTY_CELL: 0>,
 <CellType.VERTEX: 1>,
 <CellType.POLY_VERTEX: 2>]

Show all 1D cell types.

>>> sorted(pv.CellType.dimension_map[1])
[<CellType.LINE: 3>,
 <CellType.POLY_LINE: 4>,
 <CellType.QUADRATIC_EDGE: 21>,
 <CellType.CUBIC_LINE: 35>,
 <CellType.PARAMETRIC_CURVE: 51>,
 <CellType.HIGHER_ORDER_CURVE: 60>,
 <CellType.LAGRANGE_CURVE: 68>,
 <CellType.BEZIER_CURVE: 75>]

Show all 2D cell types.

>>> sorted(pv.CellType.dimension_map[2])
[<CellType.TRIANGLE: 5>,
 <CellType.TRIANGLE_STRIP: 6>,
 <CellType.POLYGON: 7>,
 <CellType.PIXEL: 8>,
 <CellType.QUAD: 9>,
 <CellType.QUADRATIC_TRIANGLE: 22>,
 <CellType.QUADRATIC_QUAD: 23>,
 <CellType.BIQUADRATIC_QUAD: 28>,
 <CellType.QUADRATIC_LINEAR_QUAD: 30>,
 <CellType.BIQUADRATIC_TRIANGLE: 34>,
 <CellType.QUADRATIC_POLYGON: 36>,
 <CellType.PARAMETRIC_SURFACE: 52>,
 <CellType.PARAMETRIC_TRI_SURFACE: 53>,
 <CellType.PARAMETRIC_QUAD_SURFACE: 54>,
 <CellType.HIGHER_ORDER_TRIANGLE: 61>,
 <CellType.HIGHER_ORDER_QUADRILATERAL: 62>,
 <CellType.HIGHER_ORDER_POLYGON: 63>,
 <CellType.LAGRANGE_TRIANGLE: 69>,
 <CellType.LAGRANGE_QUADRILATERAL: 70>,
 <CellType.BEZIER_TRIANGLE: 76>,
 <CellType.BEZIER_QUADRILATERAL: 77>]

Show all 3D cell types.

>>> sorted(pv.CellType.dimension_map[3])
[<CellType.TETRA: 10>,
 <CellType.VOXEL: 11>,
 <CellType.HEXAHEDRON: 12>,
 <CellType.WEDGE: 13>,
 <CellType.PYRAMID: 14>,
 <CellType.PENTAGONAL_PRISM: 15>,
 <CellType.HEXAGONAL_PRISM: 16>,
 <CellType.QUADRATIC_TETRA: 24>,
 <CellType.QUADRATIC_HEXAHEDRON: 25>,
 <CellType.QUADRATIC_WEDGE: 26>,
 <CellType.QUADRATIC_PYRAMID: 27>,
 <CellType.TRIQUADRATIC_HEXAHEDRON: 29>,
 <CellType.QUADRATIC_LINEAR_WEDGE: 31>,
 <CellType.BIQUADRATIC_QUADRATIC_WEDGE: 32>,
 <CellType.BIQUADRATIC_QUADRATIC_HEXAHEDRON: 33>,
 <CellType.TRIQUADRATIC_PYRAMID: 37>,
 <CellType.CONVEX_POINT_SET: 41>,
 <CellType.POLYHEDRON: 42>,
 <CellType.PARAMETRIC_TETRA_REGION: 55>,
 <CellType.PARAMETRIC_HEX_REGION: 56>,
 <CellType.HIGHER_ORDER_TETRAHEDRON: 64>,
 <CellType.HIGHER_ORDER_WEDGE: 65>,
 <CellType.HIGHER_ORDER_PYRAMID: 66>,
 <CellType.HIGHER_ORDER_HEXAHEDRON: 67>,
 <CellType.LAGRANGE_TETRAHEDRON: 71>,
 <CellType.LAGRANGE_HEXAHEDRON: 72>,
 <CellType.LAGRANGE_WEDGE: 73>,
 <CellType.LAGRANGE_PYRAMID: 74>,
 <CellType.BEZIER_TETRAHEDRON: 78>,
 <CellType.BEZIER_HEXAHEDRON: 79>,
 <CellType.BEZIER_WEDGE: 80>,
 <CellType.BEZIER_PYRAMID: 81>]