Skip to main content

A Python package for polygonal mesh generation

Project description

License Made with love in SUT (Iran) GitHub Stars DOI PyPI Downloads PyPI Downloads


Logo

pyPolyMesher

Generation of polygonal Mesh
Explore the docs »

View Demo · Report Bug · Request Feature · Citations

Table of Contents
  1. About The Project
  2. Getting Started
  3. Usage
    1. Basic Usage
    2. Internal SDFs
    3. Example Domains
    4. Import Polygon Domain from DXF
    5. Custom Domain: Heart Example
  4. Roadmap
  5. Contributing
  6. License
  7. Contact

About The Project

pyPolyMesher is a python package for generating unstructured polygonal meshes in arbitrarily defined 2D domains. It allows users to mathematically specify domains using signed distance functions (SDFs) and generates high-quality meshes adapted to the geometry and features of the domain. pyPolyMesher was initially created as a Python version of the MATLAB PolyMesher program but has since been enriched with additional features.

Key capabilities:

  • Define 2D domains mathematically using signed distance functions
  • Built-in library of SDF primitives (circles, rectangles, ellipses, regular polygons, stars, polygons, etc.) and operations to construct complex domains
  • Ability to define custom SDFs for new domain geometries
  • Generate unstructured polygonal meshes adapted to domains
  • Apply boundary conditions and mark fixed points
  • Assess mesh quality metrics like element aspect ratio
  • Animate mesh generation process
  • Import and mesh polygons from DXF files

By leveraging SDFs to represent domains, pyPolyMesher can capture intricate geometries and generate optimized meshes tailored to them, making it useful for simulations and analysis.

The package provides Lloyd's algorithm for efficient and robust meshing of arbitrary SDF-based domains. Researchers can conveniently translate geometric constructs and concepts into code using the SDF formalism.

Overall, pyPolyMesher simplifies the entire workflow - from domain specification to quality polygonal mesh generation to numerical analysis.

(back to top)

Getting Started

This part explains how to install and use this package.

Installation

You can install this package using pip:

pip install PolyMesher

Please note that pyPolyMesher is published as PolyMesher on PYPI.

(back to top)

Usage

Basic Usage:

pyPolyMesher.PolyMesherPolyMesher(Domain, NElem, MaxIter, P=None, anim=False): Generate polygon mesh on Domain with NElem number of elements. Improve mesh for MaxIter iterations. Can be given an initial point set P.

import pyPolyMesher
from pyPolyMesher.exampleDomains import MichellDomain
MichellDomain.Plot()
Node, Element, Supp, Load, P = pyPolyMesher.PolyMesher(MichellDomain, 50, 100)

Internal SDFs:

from pyPolyMesher import dFunctions as DF
  1. DF.dLine(P, x1, y1, x2, y2): Calculate the signed distance from points P to a line segment defined by two endpoints (x1, y1) and (x2, y2).
  2. DF.dLineExact(P, x1, y1, x2, y2): Calculate the exact signed distance from points P to a line segment defined by two endpoints (x1, y1) and (x2, y2).
  3. DF.dCircle(P, xc, yc, r): Calculate the signed distance from points P to a circle defined by its center (xc, yc) and radius (r).
  4. DF.dEllipse(P, xc, yc, a, b, theta=0.0): Calculate the signed distance from points P to an ellipse with semi-axes a and b and optional rotation theta.
  5. DF.dRectangle(P, x1, x2, y1, y2): Calculate the signed distance from points P to a rectangle defined by its bottom-left (x1, y1) and top-right (x2, y2) coordinates.
  6. DF.dPolygon(P, vertices): Calculate the signed distance from points P to a polygon defined by its vertices.
  7. DF.dRegularPolygon(P, xc, yc, r, n, theta=0.0): Calculate the signed distance from points P to a regular polygon.
  8. DF.dStar(P, xc, yc, r_outer, r_inner, n, theta=0.0): Calculate the signed distance from points P to a star-shaped polygon.
  9. DF.dUnion(d1, d2): Calculate the signed distance field resulting from the union of two distance fields (d1 and d2).
  10. DF.dIntersect(d1, d2): Calculate the signed distance field resulting from the intersection of two distance fields (d1 and d2).
  11. DF.dDiff(d1, d2): Calculate the signed distance field resulting from the difference of two distance fields (d1 and d2).

Example Domains:

Example Domains
  1. pyPolyMesher.exampleDomains.MbbDomain

MbbDomain

  1. pyPolyMesher.exampleDomains.HornDomain

HornDomain

  1. pyPolyMesher.exampleDomains.WrenchDomain

WrenchDomain

  1. pyPolyMesher.exampleDomains.MichellDomain

MichellDomain

  1. pyPolyMesher.exampleDomains.SuspensionDomain

SuspensionDomain

  1. pyPolyMesher.exampleDomains.CookDomain

CooksMembrane

Import Polygon Domain from DXF:

from pyPolyMesher import PolyMesher, Domain, mesh_assessment
from pyPolyMesher.dxfImporter import dxf_polygon
from pyPolyMesher.dFunctions import dPolygon

dxf_file_path = 'examples/polygon1.dxf'
v = dxf_polygon(dxf_file_path)

SDF = lambda P: dPolygon(P, v)
dxfDomain = Domain("DXF Polygon Domain", [0,100,0,100], SDF)
dxfDomain.Plot()

polygon_dxf

Node, Element, Supp, Load, P = PolyMesher(dxfDomain, 50, 100)

area = dxfDomain.CalculateArea()
metrics = mesh_assessment(Node, Element, area, verbose = True)

polygon_dxf_mesh

It should be noted that the CalculateArea method calculates the approximate area of the domain using the Monte Carlo method.

The mesh_assessment function calculates the following mesh quality metrics:

  • Maximum aspect ratio (AR)
  • Average AR
  • Average edge length across all elements
  • Shortest edge length
  • Range of element areas (minimum and maximum)
  • Standard deviation of element areas
  • Total area error between domain area and total element areas (obviously in case the domain area is provided)

Boundary Accuracy and Non-convex Corners

For domains with sharp or non-convex features (e.g. an L-shape), a few helpers keep the meshed geometry faithful to the original domain:

  • reentrant_corner_seeds(corner, e1, e2, delta): returns fixed seeds that capture a re-entrant (concave) corner, following Talischi et al. (2012, Fig. 15). Append the result to a domain's PFix.
  • assess_nodes_outside_domain(Node, SDF): reports how many nodes fall outside the domain and by how much (a direct geometric error measure).
  • project_nodes_to_domain(Node, SDF, ...): snaps nodes onto the domain boundary.

PolyMesher(..., snap_boundary=True) (default) automatically snaps boundary nodes onto the exact boundary and removes redundant collinear boundary nodes, so the meshed shape matches the domain (near-zero area error). Set snap_boundary=False for the bare MATLAB-equivalent behavior.

Custom Domain: Heart Example

The custom domain build from the SDF definition of heart geometry is available at heart_example.py.

heart_domain heart_mesh

See Examples.py and Example Notebook for more examples.

(back to top)

Roadmap

Section 1 - Current Focus and Issue Resolution

  1. Define Domain from dxf files
    • Polygon importer
    • Circle importer
    • Spline importer
    • Automatic SDF for geometries
  2. Add mesh quality assessments
    • Aspect Ratio
    • Standard Deviation of Elements Areas

Section 2 - Upcoming Priorities

  1. Enhance the README with more detailed information.
  2. Publish the package on PYPI and Zenodo for wider distribution.
  3. Add some tests.

Section 3 - Vision and Future Prospects

  1. Develop a GUI for domain definition to improve user interaction.
  2. Plugin for CAD programs.
  3. Explore and brainstorm alternative options for domain definition and future possible expansions.

See the open issues for a full list of proposed features (and known issues).

(back to top)

Contributing

Contributions are what make the open source community such an amazing place to learn, inspire, and create. Any contributions you make are greatly appreciated.

If you have a suggestion that would make this better, please fork the repo and create a pull request. You can also simply open an issue with the tag "enhancement". We appreciate your interest in pyPolyMesher!. Don't forget to give the project a star! Thanks again!

v1.3 Release Notes

This release makes meshing of sharp / non-convex domains robust and the meshed geometry faithful to the original shape:

  • Fixed a centroid/seed misalignment that could make Lloyd's iteration diverge and fling nodes far outside the domain (especially with fixed points); added a stability guard that keeps seed centroids inside the domain.
  • Added reentrant_corner_seeds to capture non-convex corners (Talischi et al. 2012).
  • Added assess_nodes_outside_domain to detect/quantify nodes outside the domain.
  • Added project_nodes_to_domain and PolyMesher(..., snap_boundary=True) to snap boundary nodes onto the exact boundary, removing overshoots and reflection-gap notches (near-zero area error).
  • Removed redundant collinear boundary nodes introduced by snapping.
  • Expanded the test suite (102 tests) including geometric mesh-quality assertions.

v1.2 Release Notes

This release focuses on reliability, test coverage, and release readiness:

  • Added a comprehensive automated test suite covering signed-distance functions, domain abstraction, meshing, example domains, DXF import, and progress utilities
  • Added smoke tests for the documented example script and example assets
  • Improved meshing behavior and fixed-point plotting handling
  • Hardened DXF import handling for testability and portability
  • Updated README citations and release metadata

Publications Using pyPolyMesher

This package has been used in the following research:

  • S.S. Abedi-Shahri et al. (2025). "NL-SBFEM: A pure SBFEM formulation for geometrically and materially nonlinear problems" Engineering Analysis with Boundary Elements. Link
  • R. Dupont (2025). "An arbitrary-order Virtual Element Method for the Helmholtz equation applied to wave field calculation in port" Results in Applied Mathematics. Link

(back to top)

License

This project is licensed under the GPLv3 License - see the LICENSE file for details. Contact

(back to top)

Contact

If you have any questions or feedback, feel free to reach out:

Email: AbediSadjad@gmail.com

GitHub: Sad-Abd

Project details


Download files

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

Source Distribution

polymesher-1.3.tar.gz (46.8 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

polymesher-1.3-py3-none-any.whl (39.1 kB view details)

Uploaded Python 3

File details

Details for the file polymesher-1.3.tar.gz.

File metadata

  • Download URL: polymesher-1.3.tar.gz
  • Upload date:
  • Size: 46.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.12

File hashes

Hashes for polymesher-1.3.tar.gz
Algorithm Hash digest
SHA256 0733e06ffdde18a19ba31cd3ecd39b7416c319bd2c1a7cf79d43a92be5568ee3
MD5 2d82ec85adee2597758b9bf709a41f75
BLAKE2b-256 ae9e9e7573c734e1cc6e34cb1a36d2297b9e03dae9b68c104e876dfbdde33899

See more details on using hashes here.

File details

Details for the file polymesher-1.3-py3-none-any.whl.

File metadata

  • Download URL: polymesher-1.3-py3-none-any.whl
  • Upload date:
  • Size: 39.1 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.12

File hashes

Hashes for polymesher-1.3-py3-none-any.whl
Algorithm Hash digest
SHA256 48aae5d484759595d3656e0fa56ca61d3a800b588649cc398ad11bbd610bb3ab
MD5 01e1ff591737a24ca6b741c2fe6de5d2
BLAKE2b-256 a1e99cf143beaeaddb7f912ab7a3b9ae2f515f2cc287710756be6620bb9a8301

See more details on using hashes here.

Supported by

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