Skip to main content

User Friendly Magnetic Field Calculations

Project description

Pymagnet

User friendly magnetic field calculations in Python

License: MPL 2.0 License: CC BY-SA 4.0 DOI Anaconda-Server Badge

Getting Started

Installing pymagnet can be done using

python -m pip install pymagnet 

Pymagnet is a collection of routines to calculate and plot the magnetic field due to arbitrary 2D and 3D objects, like cubes or cylinders, as well as complex non-convex structures stored in STL files. The library can also calculate the magnetic forces and torques on one magnet due to all other magnets in the system.

The approach assumes the magnets are uniformly magnetised, and fully transparent to magnetic fields. There are some drawbacks to this compared to Finite Element Methods (FEM), but with the advantage of significantly faster calculations.

The current version is written in Python with some speed up using Numpy and Numba, but the backend is being ported to Rust for improved performance.

Features

This code uses analytical expressions to calculate the magnetic field due to simple magnets:

  • 3D: cubes, prisms (cuboids), cylinders, spheres
  • 2D: rectangles, squares, circles

and complex compound objects:

  • 3D: Polyhedra stored as STL meshes
  • 2D: Polygons constructed from collections of line elements

There are helper functions to plot the data as line, contour, slice, and volume plots, but the underlying data is also accessible.

Documentation

Full documentation can be found here: https://pdunne.github.io/pymagnet/

Examples

Examples can be found in the repository.

Or run on Colab:

2D Examples

Getting Started First Steps

1D Simple Plots Open In Colab

2D Standard Shapes Open In Colab

2D Arbitrary Polygons Open In Colab

Misc. Examples Open In Colab

3D Examples

Analytical Shapes 3D Examples

Spheres Open In Colab

3D STL Meshes Open In Colab

3D Stanford Bunny Open In Colab

Upload Your Own Custom Magnet Open In Colab

Forces and Torques

Cubes Open In Colab

Cylinders Open In Colab

Spheres Open In Colab

STL Cubes Open In Colab

STL Pentagonal Prisms Open In Colab

Binder

The example notebooks can be run as an instance using Binder:

Binder

Prerequisites

Ensure you have Python version >= 3.6 (to use f-strings), and the following packages:

  • numpy
  • numpy-stl
  • numba
  • matplotlib
  • plotly

Usage

Forms of this library have been used in a number of projects including Liquid flow and control without solid walls, Nature 2020.

Licensing

Source code licensed under the Mozilla Public License Version 2.0

Documentation is licensed under a Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0) license.

This is a human-readable summary of (and not a substitute for) the license, adapted from CS50x. Official translations of this license are available in other languages.

You are free to:

  • Share — copy and redistribute the material in any medium or format.
  • Adapt — remix, transform, and build upon the material.

Under the following terms:

  • Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
  • ShareAlike — If you remix, transform, or build upon the material, you must distribute your contributions under the same license as the original
  • No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.

Contribution

Unless you explicitly state otherwise, any contribution intentionally submitted for inclusion in the work by you shall be licensed as above, without any additional terms or conditions.

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

pymagnet-0.3.5.tar.gz (60.0 kB view details)

Uploaded Source

Built Distribution

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

pymagnet-0.3.5-py3-none-any.whl (81.1 kB view details)

Uploaded Python 3

File details

Details for the file pymagnet-0.3.5.tar.gz.

File metadata

  • Download URL: pymagnet-0.3.5.tar.gz
  • Upload date:
  • Size: 60.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.3.0 pkginfo/1.7.0 requests/2.25.1 setuptools/52.0.0.post20210125 requests-toolbelt/0.9.1 tqdm/4.59.0 CPython/3.8.8

File hashes

Hashes for pymagnet-0.3.5.tar.gz
Algorithm Hash digest
SHA256 68ee794003f16cc4de5e385aeb1539f0394d4b2663a7e1c6964d45005fb5a200
MD5 2e09d00e87b43bd5af363c415e416354
BLAKE2b-256 b744d9fcb54db31578f92b6244a0c247f0039103aab5523653cbbbeba95e4d5d

See more details on using hashes here.

File details

Details for the file pymagnet-0.3.5-py3-none-any.whl.

File metadata

  • Download URL: pymagnet-0.3.5-py3-none-any.whl
  • Upload date:
  • Size: 81.1 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.3.0 pkginfo/1.7.0 requests/2.25.1 setuptools/52.0.0.post20210125 requests-toolbelt/0.9.1 tqdm/4.59.0 CPython/3.8.8

File hashes

Hashes for pymagnet-0.3.5-py3-none-any.whl
Algorithm Hash digest
SHA256 dede43b213d10c2a4f3c34bfd48472a306ab6c82f15285d3ea0bc0cb8024bd13
MD5 ceb0467ebebde43191f3726860a5c1ba
BLAKE2b-256 932a4c21703beda2baf217cfec73d243c77589caec0029388da0319e2b9a457e

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