pyvista.PolyData.verts#
- property PolyData.verts: NumpyArray[int][source]#
Return or set the vertex padded connectivity array.
Like all padded VTK connectivity arrays, the array is structured as:
[n0, p0_0, p0_1, ..., p0_n, n1, p1_0, p1_1, ..., p1_n, ...]
where
n0is the number of points in vertex 0, andpX_Yis the Y’th point in vertex X.Vertices can be a single
VERTEXcell with connectivity to a single point, or aPOLY_VERTEXwith connectivity to multiple points.For example, a single vertex and poly-vertex with five points might be represented as:
[1, 0, 5, 3, 2, 4, 1, 5]
Where the two separate vertex cells are
[1, 0]and[5, 3, 2, 4, 1, 5].- Returns:
numpy.ndarrayArray of vertex cell connectivity.
Examples
Create a point cloud polydata and return the vertex cells.
>>> import pyvista as pv >>> import numpy as np >>> rng = np.random.default_rng(seed=0) >>> points = rng.random((5, 3)) >>> pdata = pv.PolyData(points) >>> pdata.verts array([1, 0, 1, 1, 1, 2, 1, 3, 1, 4])
Set vertex cells. Note how the mesh plots both the surface mesh and the additional vertices in a single plot.
>>> mesh = pv.Plane(i_resolution=3, j_resolution=3) >>> mesh.verts = np.vstack( ... ( ... np.ones(mesh.n_points, dtype=np.int64), ... np.arange(mesh.n_points), ... ) ... ).T >>> mesh.plot( ... color='lightblue', ... render_points_as_spheres=True, ... point_size=60, ... )
Vertex cells can also be set to a
CellArray. The followingvertsassignment is equivalent to the one above.>>> mesh.verts = pv.CellArray.from_regular_cells( ... np.arange(mesh.n_points).reshape((-1, 1)) ... )