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I have a need for a Python module/package that provides a mesh on which I can do computational science? I am not doing graphics, so I don't think the blender package is what I want.
Does anyone know of a good package?
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Mesh generation is the practice of creating a mesh, a subdivision of a continuous geometric space into discrete geometric and topological cells. Often these cells form a simplicial complex. Usually the cells partition the geometric input domain. Mesh cells are used as discrete local approximations of the larger domain.
A computational mesh topology has a hierarchical system whereby higher topology assumes the existence of the topologies beneath it (Fig. 4.1). For example, the creation of a volume cell automatically inherits the lower topologies (i.e. a volume cell contains face, line and vertex structures).
A meshing algorithm can ideally define the shape and distribution of the elements. A vital step of the finite element method for numerical computation is mesh generation algorithms. A given domain is to be partitioned into simpler 'elements.
The most useful packages out there are perhaps
In addition, there is optimesh for improving the quality of any mesh.
(Disclaimer: I'm the author of pygmsh, pygalmesh, dmsh, meshzoo, and optimesh.)
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If you're trying to solve FE or CFD style equations on a mesh you can use MeshPy in 2 and 3 dimensions. Meshpy is a nice wrapper around the existing tools tetgen and triangle.
If you're looking for more typical graphics style meshes, there was an interesting talk at PyCon 2011 "Algorithmic Generation of OpenGL Geometry", which described a pragmatic approach to procedural mesh generation. The code from the presentation is available online
If you're interested in reconstruction of surfaces from data, you can't go past the Standford 3D Scanning Repository, home of the Stanford Bunny
Edit:
A dependancy free alternative may be to use something like gmsh, which is platform independent, and uses similar tools to meshpy in its back-end.
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