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There are various mesh formats available for representing unstructured meshes, e.g.,

meshio can read and write all of these formats and smoothly converts between them. Simply call

meshio-convert input.msh output.vtu

with any of the supported formats.

In Python, simply call

points, cells, point_data, cell_data, field_data = \
    meshio.read(args.infile)

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(
    'foo.vtk',
    points,
    cells,
    # Optionally provide extra data on points, cells, etc.
    # point_data=point_data,
    # cell_data=cell_data,
    # field_data=field_data
    )

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).

Installation

meshio is available from the Python Package Index, so simply type

pip install -U meshio

to install or upgrade.

Usage

Just

import meshio

and make use of all the goodies the module provides.

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.

Project links

Key dates

PyPI data
Data sourced directly from PyPI's database.
  • Released:
Newer release available (5.3.5)

1 maintainer

PyPI data
Data sourced directly from PyPI's database.
Avatar for nschloe from gravatar.com nschloe

Credits

Author: Nico Schlömer

License

MIT License (License :: OSI Approved :: MIT License)

Classifiers

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