{
"info": {
"author": "Nico Schl\u00f6mer",
"author_email": "nico.schloemer@gmail.com",
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"Development Status :: 4 - Beta",
"Intended Audience :: Science/Research",
"License :: OSI Approved :: MIT License",
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"Programming Language :: Python",
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"description": "# meshzoo\n\n[](https://circleci.com/gh/nschloe/meshzoo)\n[](https://codecov.io/gh/nschloe/meshzoo)\n[](https://github.com/psf/black)\n[](https://pypi.org/project/meshzoo)\n[](https://github.com/nschloe/meshzoo)\n[](https://pypistats.org/packages/meshzoo)\n\nWhen generating meshes for FEM/FVM computations, sometimes your geometry is so simple\nthat you don't need a complex mesh generator (like\n[pygmsh](https://github.com/nschloe/pygmsh/),\n[MeshPy](https://github.com/inducer/meshpy),\n[mshr](https://bitbucket.org/fenics-project/mshr),\n[pygalmesh](https://github.com/nschloe/pygalmesh/),\n[dmsh](https://github.com/nschloe/dmsh/)),\nbut something simple and fast that makes use of the symmetries of the domain. Enter\nmeshzoo.\n\n### Examples\n\n#### Triangle\n![](\"https://nschloe.github.io/meshzoo/triangle.png\")
\n\n```python\nimport meshzoo\npoints, cells = meshzoo.triangle(8)\n\n# Process the mesh, e.g., write it to a file using meshio\n# meshio.write('rectangle.e', points, {'triangle': cells})\n```\n\n#### Rectangle\n![](\"https://nschloe.github.io/meshzoo/rectangle.png\")
\n\n```python\npoints, cells = meshzoo.rectangle(\n xmin=0.0, xmax=1.0,\n ymin=0.0, ymax=1.0,\n nx=11, ny=11,\n zigzag=True\n )\n```\n\n#### Hexagon\n![](\"https://nschloe.github.io/meshzoo/hexagon.png\")
\n\n```python\npoints, cells = meshzoo.hexagon(3)\n```\n\n#### M\u00f6bius strip\n![](\"https://nschloe.github.io/meshzoo/moebius.png\")
\n\n```python\npoints, cells = meshzoo.moebius(num_twists=1, nl=60, nw=11)\n```\n\n#### Sphere (surface)\n![](\"https://nschloe.github.io/meshzoo/uv_sphere.png\")
\n\n```python\npoints, cells = meshzoo.uv_sphere(num_points_per_circle=20, num_circles=10, radius=1.0)\n```\n\nSpheres can also be generated by refining the faces of [platonic\nsolids](https://en.wikipedia.org/wiki/Platonic_solid) and then \"inflating\" them. meshzoo\nimplements a few of them. The sphere generated from the icosahedron has the\nhighest-quality (most equilateral) triangles.\n\n![](\"https://nschloe.github.io/meshzoo/tetra-sphere.png\")
|\n![](\"https://nschloe.github.io/meshzoo/octa-sphere.png\")
|\n![](\"https://nschloe.github.io/meshzoo/icosa-sphere.png\")
\n:-------------------:|:------------------:|:----------:|\n`meshzoo.tetra_sphere(10)` | `meshzoo.octa_sphere(10)` | `meshzoo.icosa_sphere(10)` |\n\n\n#### Tube\n![](\"https://nschloe.github.io/meshzoo/tube.png\")
\n\n```python\npoints, cells = meshzoo.tube(length=1.0, radius=1.0, n=30)\n```\n\n#### Cube\n![](\"https://nschloe.github.io/meshzoo/cube.png\")
\n\n```python\npoints, cells = meshzoo.cube(\n xmin=0.0, xmax=1.0,\n ymin=0.0, ymax=1.0,\n zmin=0.0, zmax=1.0,\n nx=11, ny=11, nz=11\n )\n```\n\n\n### Extra, extra\n\nIn addition to this, the\n[`examples/`](https://github.com/nschloe/meshzoo/blob/master/examples/) directory\ncontains a couple of instructive examples for other mesh generators.\n\n\n### Installation\n\nmeshzoo is [available from the Python Package\nIndex](https://pypi.org/project/meshzoo/), so simply\n```\npip install meshzoo -U --user\n```\nto install/upgrade.\n\n### Testing\n\nTo run the meshzoo unit tests, check out this repository and run\n```\npytest\n```\n\n### License\n\nmeshzoo is published under the [MIT license](https://en.wikipedia.org/wiki/MIT_License).\n\n\n",
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