Skip to main content
Ctrl+K

SigmaEpsilon.Mesh

  • Getting started
  • User Guide
  • Gallery
  • API Reference
  • Development
  • GitHub
  • PyPi
  • Getting started
  • User Guide
  • Gallery
  • API Reference
  • Development
  • GitHub
  • PyPi

Section Navigation

Getting Started

  • Installation

Contents

  • Frames, Points and Point Clouds
  • Mesh composition
  • The structure of a mesh
  • Plotting with PyVista and K3D
  • Grid Generation and Plotting with PyVista
  • Geometrical transformations
  • Topological transformations
  • Exchange data between points and cells
  • Read and Write Mesh Data
  • Mesh Analysis
  • Shape Function Generation
  • Interpolation and extrapolation
  • User Guide

User Guide#

The user guide provides in-depth information on the key concepts of the library with useful background information and explanation.

Getting Started

  • Installation

Contents

  • Frames, Points and Point Clouds
    • Transformations
    • Numba JIT compilation
    • Reference frames
  • Mesh composition
    • A minimal example
    • Joining and splitting meshes
    • Nested layouts
  • The structure of a mesh
    • The database model
    • Root, source and parent
  • Plotting with PyVista and K3D
    • Plotting with PyVista
    • Plotting with K3D
  • Grid Generation and Plotting with PyVista
  • Geometrical transformations
    • Transforming the points
    • Transforming the references
  • Topological transformations
  • Exchange data between points and cells
    • Data from cells to points
    • Data from points to cells
    • Customizing the distribution mechanism
  • Read and Write Mesh Data
  • Mesh Analysis
    • Nodal Distribution Factors
    • Nodal Adjacency
    • Pseudo Peripheral Nodes
    • Rooted Level Structure
    • K-Nearest-Neighbours with Scipy or SkLearn
  • Shape Function Generation
  • Interpolation and extrapolation
    • Multidimensional data
    • Custom cells

previous

Getting started

next

Installation

Show Source

© Copyright 2014-2024, Bence Balogh.

Created using Sphinx 7.2.6.

Built with the PyData Sphinx Theme 0.15.2.