Generation of polygonal Mesh
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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.
This part explains how to install and use this package.
You can install this package using pip:
pip install PolyMesher
Please note that pyPolyMesher is published as PolyMesher on PYPI.
pyPolyMesher.PolyMesher(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)from pyPolyMesher import dFunctions as DFDF.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).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).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).DF.dEllipse(P, xc, yc, a, b, theta=0.0): Calculate the signed distance from points P to an ellipse with semi-axesaandband optional rotationtheta.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.DF.dPolygon(P, vertices): Calculate the signed distance from points P to a polygon defined by its vertices.DF.dRegularPolygon(P, xc, yc, r, n, theta=0.0): Calculate the signed distance from points P to a regular polygon.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.DF.dUnion(d1, d2): Calculate the signed distance field resulting from the union of two distance fields (d1 and d2).DF.dIntersect(d1, d2): Calculate the signed distance field resulting from the intersection of two distance fields (d1 and d2).DF.dDiff(d1, d2): Calculate the signed distance field resulting from the difference of two distance fields (d1 and d2).
Example Domains
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()Node, Element, Supp, Load, P = PolyMesher(dxfDomain, 50, 100)
area = dxfDomain.CalculateArea()
metrics = mesh_assessment(Node, Element, area, verbose = True)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)
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'sPFix.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.
The custom domain build from the SDF definition of heart geometry is available at heart_example.py.
See Examples.py and Example Notebook for more examples.
- Define
DomainfromdxffilesPolygon importer- Circle importer
- Spline importer
- Automatic SDF for geometries
- Add mesh quality assessments
Aspect RatioStandard Deviation of Elements Areas
- Enhance the README with more detailed information.
Publish the package on PYPI and Zenodo for wider distribution.Add some tests.
- Develop a GUI for domain definition to improve user interaction.
- Plugin for CAD programs.
- 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).
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!
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_seedsto capture non-convex corners (Talischi et al. 2012). - Added
assess_nodes_outside_domainto detect/quantify nodes outside the domain. - Added
project_nodes_to_domainandPolyMesher(..., 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.
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
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
This project is licensed under the GPLv3 License - see the LICENSE file for details. Contact
If you have any questions or feedback, feel free to reach out:
Email: AbediSadjad@gmail.com
GitHub: Sad-Abd









