pygmsh 3.0.4

Python frontend for Gmsh

Gmsh is a powerful mesh generation tool with a scripting language that is notoriously hard to write.

The goal of PyGmsh is to combine the power of Gmsh with the versatility of Python and to provide useful abstractions from the Gmsh scripting language so you can create complex geometries more easily.

To create the above mesh, simply do

import pygmsh as pg
import numpy as np

geom = pg.Geometry()

# Draw a cross.
poly = geom.add_polygon([
    [0.0,   0.5, 0.0],
    [-0.1,  0.1, 0.0],
    [-0.5,  0.0, 0.0],
    [-0.1, -0.1, 0.0],
    [0.0,  -0.5, 0.0],
    [0.1,  -0.1, 0.0],
    [0.5,   0.0, 0.0],
    [0.1,   0.1, 0.0]
    ],
    lcar=0.05
    )

axis = [0, 0, 1]

geom.extrude(
    poly,
    translation_axis=axis,
    rotation_axis=axis,
    point_on_axis=[0, 0, 0],
    angle=2.0 / 6.0 * np.pi
    )

points, cells, point_data, cell_data, field_data = pg.generate_mesh(geom)

to retrieve all points and cells of the mesh for the specified geometry. To store the mesh, you can use meshio; for example

import meshio
meshio.write('test.vtu', points, cells, cell_data=cell_data)

The output file can be visualized with various tools, e.g., ParaView.

You will find the above mesh in the directory test/examples/ along with other small examples.

Installation

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

pip install -U pygmsh

to install or upgrade.

Usage

Just

import pygmsh as pg

and make use of all the goodies the module provides. The documentation and the examples under `test/examples/ <https://github.com/nschloe/pygmsh/tree/master/test/examples>`__ might inspire you.

Testing

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

pytest

Distribution

To create a new release

1. bump the __version__ number,

2. publish to PyPi and GitHub:

   $ make publish

License

PyGmsh is published under the MIT license.