PyVTK ­ Tools for manipulating VTK files in Python

What's new?

Jan 4, 2012

Development of PyVTK is moved under the Google Code project pyvtk.

0.4.74 (Feb 22, 2007)

Minor bug fixes.

0.4.71 (May 18, 2006)

Added numpy support. Bug fixes.

0.4.66 (January 26, 2003)

Fixed binary write of UnstructuredGrid.

0.4.62 (November 19, 2002)

Minor fixes.

0.4 (September 2, 2002)

Writing binary files works (thanks to Hans Fangohr).

0.4 (June 8, 2001)

VTK files reader (only for Python 2.x). Usage: VtkData(filename)

0.3 (May 21, 2001)

First release.

Introduction

PyVTK provides the following tools for manipulating Visualization Toolkit (VTK) files in Python:

VtkData

Create VTK file from Python objects. It fully supports VTK File Formats Standard 2.0 (see also VTK File Formats Standard 3.0). The features include:

• ascii and binary output, ascii input from VTK file
• DataSet formats: StructuredPoints, StructuredGrid, RectilinearGrid, PolyData, UnstructuredGrid
• Data formats: PointData, CellData
• DataSetAttr formats: Scalars, ColorScalars, LookupTable, Vectors, Normals, TextureCoordinates, Tensors, Field

Related software

• MayaVi - free, easy to use scientific data visualizer, written in Python by Prabhu Ramachandran.

Requirements

1. Python (PyVTK is developed under Python 2.1, but it is tested to work also with Python 1.5.2 and 2.0)

Download

Snapshots of release:

rel-0.x/PyVTK-0.latest.tar.gz

Installation

To install PyVTK, unpack the source file, change to directory PyVTK-?.?.? and run python setup.py install, or make install if under Python 1.x.

CVS Repository

1. First you need to login (the password is guest):

   > cvs -d :pserver:anonymous@cens.ioc.ee:/home/cvs login
   

2. and then do the checkout:

   > cvs -z6 -d :pserver:anonymous@cens.ioc.ee:/home/cvs checkout python/pyvtk
   

3. In the directory pyvtk you can get the updates by hitting

   > cvs -z6 update -P -d