PyDistMesh: A Simple Mesh Generator in Python
PyDistMesh is a simple Python code for generating unstructured triangular and tetrahedral meshes using signed distance functions. It intends to have the same functionality as and similar interface to the MATLAB-based DistMesh. Like DistMesh, upon which it is based, PyDistMesh is distributed under the GNU GPL.
2-D Examples
Uniform Mesh on Unit Circle:
>>> import distmesh as dm >>> import numpy as np >>> fd = lambda p: np.sqrt((p**2).sum(1))-1.0 >>> p, t = dm.distmesh2d(fd, dm.huniform, 0.2, (-1,-1,1,1))
Rectangle with circular hole, refined at circle boundary:
>>> import distmesh as dm >>> fd = lambda p: dm.ddiff(dm.drectangle(p,-1,1,-1,1), ... dm.dcircle(p,0,0,0.5)) >>> fh = lambda p: 0.05+0.3*dm.dcircle(p,0,0,0.5) >>> p, t = dm.distmesh2d(fd, fh, 0.05, (-1,-1,1,1), ... [(-1,-1),(-1,1),(1,-1),(1,1)])
3-D Examples
3-D Unit ball:
>>> import distmesh as dm >>> import numpy as np >>> fd = lambda p: np.sqrt((p**2).sum(1))-1.0 >>> p, t = dm.distmeshnd(fd, dm.huniform, 0.2, (-1,-1,-1, 1,1,1))
Cylinder with hole:
>>> import distmesh as dm >>> import numpy as np >>> def fd10(p): ... r, z = np.sqrt(p[:,0]**2 + p[:,1]**2), p[:,2] ... d1, d2, d3 = r-1.0, z-1.0, -z-1.0 ... d4, d5 = np.sqrt(d1**2+d2**2), np.sqrt(d1**2+d3**2) ... d = dm.dintersect(dm.dintersect(d1, d2), d3) ... ix = (d1>0)*(d2>0); d[ix] = d4[ix] ... ix = (d1>0)*(d3>0); d[ix] = d5[ix] ... return dm.ddiff(d, dm.dsphere(p, 0,0,0, 0.5)) >>> def fh10(p): ... h1 = 4*np.sqrt((p**2).sum(1))-1.0 ... return np.minimum(h1, 2.0) >>> p, t = dm.distmeshnd(fd10, fh10, 0.1, (-1,-1,-1, 1,1,1))
Demos
For a quick demonstration, run:
$ python -m distmesh.demo2d
or:
$ python -m distmesh.demond
Dependencies
PyDistMesh is compatible with both Python 2 and Python 3. (The author has only tested it in Python 2.7 and Python 3.2). It requires several common Python packages:
matplotlib (optional)
Building the package requires a C compiler and LAPACK. Cython, if available, can be used to rebuild the extension module bindings.
References
The DistMesh algorithm is described in the following two references. If you use the algorithm in a program or publication, please acknowledge its authors by adding a reference to the first paper below.
Metadata
Release files for PyDistMesh 1.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| PyDistMesh-1.2.tar.gz | 53.9 kB | Without provenance | Details |
Release files / PyDistMesh-1.2.tar.gz
| Download URL | PyDistMesh-1.2.tar.gz |
|---|---|
| Size | 53.9 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
f45010037c312f21f742ec83e640eda314455f4428a9c46567f128c82600d986
|
|
BLAKE2b-256 checksum How to use checksums |
393cfef5c2f4882128e093ec308c2c0c29a37a1f5001a03423863728b0c8c000
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
Security for PyDistMesh 1.2
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.