Skip to main content

I/O for various mesh formats

Project description

meshio

CircleCI codecov Code style: black PyPi Version Debian CI DOI GitHub stars PyPi downloads

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

Simply call

meshio-convert input.msh output.vtu

with any of the supported formats.

In Python, simply call

import meshio

mesh = 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 time series 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_data(t, point_data={"phi": data})

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 Package Index, 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.

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

meshio-2.3.7.tar.gz (60.9 kB view details)

Uploaded Source

Built Distribution

meshio-2.3.7-py2.py3-none-any.whl (76.7 kB view details)

Uploaded Python 2 Python 3

File details

Details for the file meshio-2.3.7.tar.gz.

File metadata

  • Download URL: meshio-2.3.7.tar.gz
  • Upload date:
  • Size: 60.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.21.0 setuptools/40.8.0 requests-toolbelt/0.9.1 tqdm/4.31.1 CPython/3.7.2+

File hashes

Hashes for meshio-2.3.7.tar.gz
Algorithm Hash digest
SHA256 4e2e095cb7e1241b7fbeb7f9548d06be875d1b1c3a3356b06110a3e4e147f692
MD5 ec9a22639a4a183212325742b1d5a365
BLAKE2b-256 6707521460abc94226173e7709b8fac956482b8d7ae9f5e7530a28511e52b884

See more details on using hashes here.

File details

Details for the file meshio-2.3.7-py2.py3-none-any.whl.

File metadata

  • Download URL: meshio-2.3.7-py2.py3-none-any.whl
  • Upload date:
  • Size: 76.7 kB
  • Tags: Python 2, Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.21.0 setuptools/40.8.0 requests-toolbelt/0.9.1 tqdm/4.31.1 CPython/3.7.2+

File hashes

Hashes for meshio-2.3.7-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 50c6500b3ff18d4875a97b20c178f81e9e5627a7f16e738fbe56ddf284f6e18f
MD5 d852f493bf47a4632d10451acd938c33
BLAKE2b-256 c4a9b9190aab31624dc18ea88da576739f20b62f2e1fcd9d5d3c626fc6ea25c5

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page