pyvista.wrap#

Wrap any given VTK data object to its appropriate PyVista data object.

Other formats that are supported include:

2D numpy.ndarray of XYZ vertices
3D numpy.ndarray representing a volume. Values will be scalars.
3D trimesh.Trimesh mesh.
3D meshio.Mesh mesh.

Changed in version 0.38.0: If the passed object is already a wrapped PyVista object, then this is no-op and will return that object directly. In previous versions of PyVista, this would perform a shallow copy.

Parameters:

datasetnumpy.ndarray | trimesh.Trimesh | vtk.DataSet: Dataset to wrap.

Returns:

pyvista.DataSet: The PyVista wrapped dataset.

Examples

Wrap a numpy array representing a random point cloud.

>>> import numpy as np
>>> import pyvista as pv
>>> points = np.random.default_rng().random((10, 3))
>>> cloud = pv.wrap(points)
>>> cloud
PolyData (...)
  N Cells:    10
  N Points:   10
  N Strips:   0
  X Bounds:   ...
  Y Bounds:   ...
  Z Bounds:   ...
  N Arrays:   0

Wrap a VTK object.

>>> import pyvista as pv
>>> import vtk
>>> points = vtk.vtkPoints()
>>> p = [1.0, 2.0, 3.0]
>>> vertices = vtk.vtkCellArray()
>>> pid = points.InsertNextPoint(p)
>>> _ = vertices.InsertNextCell(1)
>>> _ = vertices.InsertCellPoint(pid)
>>> point = vtk.vtkPolyData()
>>> _ = point.SetPoints(points)
>>> _ = point.SetVerts(vertices)
>>> mesh = pv.wrap(point)
>>> mesh
PolyData (...)
  N Cells:    1
  N Points:   1
  N Strips:   0
  X Bounds:   1.000e+00, 1.000e+00
  Y Bounds:   2.000e+00, 2.000e+00
  Z Bounds:   3.000e+00, 3.000e+00
  N Arrays:   0

Wrap a Trimesh object.

>>> import trimesh
>>> import pyvista as pv
>>> points = [[0, 0, 0], [0, 0, 1], [0, 1, 0]]
>>> faces = [[0, 1, 2]]
>>> tmesh = trimesh.Trimesh(points, faces=faces, process=False)
>>> mesh = pv.wrap(tmesh)
>>> mesh  
PolyData (0x7fc55ff27ad0)
  N Cells:  1
  N Points: 3
  X Bounds: 0.000e+00, 0.000e+00
  Y Bounds: 0.000e+00, 1.000e+00
  Z Bounds: 0.000e+00, 1.000e+00
  N Arrays: 0