meshio (2024)

There are various mesh formats available for representing unstructured meshes.meshio can read and write all of the following and smoothly converts between them:

• Abaqus
• ANSYS msh
• DOLFIN XML
• Exodus
• H5M
• Kratos/MDPA
• Medit
• MED/Salome
• Gmsh (versions 2 and 4)
• OFF
• PERMAS
• STL
• SVG (2D only, output only)
• VTK
• VTU
• XDMF

Simply call

meshio-convert input.msh output.vtu

with any of the supported formats.

In Python, simply call

import meshiomesh = meshio.read(filename)# mesh.points, mesh.cells, ...

to read a mesh. To write, do

points = numpy.array([ [0.0, 0.0, 0.0], [0.0, 1.0, 0.0], [0.0, 0.0, 1.0], ])cells = { "triangle": numpy.array([ [0, 1, 2] ]) }meshio.write_points_cells( "foo.vtk", points, cells, # Optionally provide extra data on points, cells, etc. # point_data=point_data, # cell_data=cell_data, # field_data=field_data )

or explicitly create a mesh object for writing

mesh = meshio.Mesh(points, cells)meshio.write("foo.vtk", mesh)

For both input and output, you can optionally specify the exact file_format(in case you would like to enforce binary over ASCII VTK, for example).

Time series

The XDMF format supports timeseries with a shared mesh. You can write times series data using meshio with

writer = meshio.XdmfTimeSeriesWriter(filename)writer.write_points_cells(points, cells)for t in [0.0, 0.1, 0.21]: writer.write_point_data({"phi": data}, t)

and read it with

reader = meshio.XdmfTimeSeriesReader(filename)points, cells = reader.read_points_cells()for k in range(reader.num_steps): t, point_data, cell_data = reader.read_data(k)

Installation

meshio is available from the Python PackageIndex, so simply type

pip install -U meshio

to install or upgrade.

Testing

To run the meshio unit tests, check out this repository and type

pytest

Distribution

To create a new release

1. bump the __version__ number,

2. tag and upload to PyPi:

   make publish

License

meshio is published under the MIT license.