ipyvtklink

An ipywidget for vtkRenderWindow (formerly ipyvtk-simple)

This is an early prototype of creating a Jupyter interface to VTK. This toolkit is a proof of concept and a more polished tool will be available as ipyvtk in the future.

The code here was implemented from the work done by Andras Lasso under an MIT License (see the source).

The goal is to enable this widget to work with any server side vtkRenderWindow This render window could be from VTK Python, ParaView, or PyVista.

Please note that vtk is not listed as a requirement for this package to simplify its installation in virtual environments where VTK may be built from source or bundled with ParaView and we do not want to install the wheels from PyPI.

Installation

For use with PyVista, simply install with pip or conda:

pip install ipyvtklink

or

conda install -c conda-forge ipyvtklink

Run in Docker

A Docker image is prebuilt and hosted in the ipyvtklink repository's packages.

To run in Docker:

docker pull ghcr.io/kitware/ipyvtklink:latest
docker run -p 8888:8888 ghcr.io/kitware/ipyvtklink:latest

and open the vtk.ipynb notebook.

Additionally, this can be used with ParaView. An example is given in paraview.ipynb which can be run via:

docker pull ghcr.io/kitware/ipyvtklink-paraview:latest
docker run -p 8878:8878 ghcr.io/kitware/ipyvtklink-paraview:latest

Examples

You may have to build jupyter lab extensions for this to work in Lab. This is known to work well in Notebook.

PyVista

PyVista has fully implemented downstream support for ipyvtklink. See PyVista's Documentation

See the pyvista.ipynb for an original proof of concept.

Python VTK

The widget here can be used with VTK. Here is a minimal example showing how to pass any vtkRenderWindow to the ViewInteractiveWidget:

import vtk
from ipyvtklink.viewer import ViewInteractiveWidget

# Create some data
cylinder = vtk.vtkCylinderSource()
cylinder.SetResolution(8)
mapper = vtk.vtkPolyDataMapper()
mapper.SetInputConnection(cylinder.GetOutputPort())
actor = vtk.vtkActor()
actor.SetMapper(mapper)

# Set up render window
ren = vtk.vtkRenderer()
ren_win = vtk.vtkRenderWindow()
ren_win.SetOffScreenRendering(1)
ren_win.SetSize(600, 600)
ren_win.AddRenderer(ren)
iren = vtk.vtkRenderWindowInteractor()
iren.SetRenderWindow(ren_win)
style = vtk.vtkInteractorStyleTrackballCamera()
iren.SetInteractorStyle(style)

# Add actor to scene
ren.AddActor(actor)
ren.ResetCamera()

# Display
ViewInteractiveWidget(ren_win)

ParaView Python

See instructions above for running ParaView in a Docker container.

import paraview.simple as pvs
from ipyvtklink.viewer import ViewInteractiveWidget

# Create data on the pipeline
wavelet = pvs.Wavelet()
contour = pvs.Contour(Input=wavelet)
contour.ContourBy = ['POINTS', 'RTData']
contour.Isosurfaces = [63, 143, 170, 197, 276]

# Set the data as visible
pvs.Show(contour)

# Fetch the view and render the scene
view = pvs.GetActiveView()
pvs.Render(view)

# Fetch the RenderWindow
ren_win = view.GetClientSideObject().GetRenderWindow()
# Display the RenderWindow with the widget
ViewInteractiveWidget(ren_win)