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discretisedfield-0.9


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توضیحات

Python package for the analysis and visualisation of finite-difference fields.
ویژگی مقدار
سیستم عامل -
نام فایل discretisedfield-0.9
نام discretisedfield
نسخه کتابخانه 0.9
نگهدارنده []
ایمیل نگهدارنده []
نویسنده Marijan Beg, Martin Lang, Samuel Holt, Swapneel Amit Pathak, Ryan A. Pepper, Hans Fangohr
ایمیل نویسنده -
آدرس صفحه اصلی -
آدرس اینترنتی https://pypi.org/project/discretisedfield/
مجوز Copyright 2022, Marijan Beg and Hans Fangohr Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met: 1. Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer. 2. Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution. 3. Neither the name of the copyright holder nor the names of its contributors may be used to endorse or promote products derived from this software without specific prior written permission. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
# discretisedfield [Marijan Beg](https://github.com/marijanbeg)<sup>1,2</sup>, [Martin Lang](https://github.com/lang-m)<sup>2</sup>, [Samuel Holt](https://github.com/samjrholt)<sup>2,3</sup>, [Swapneel Amit Pathak](https://github.com/swapneelap)<sup>2,4</sup>, [Ryan A. Pepper](https://github.com/rpep)<sup>5</sup>, and [Hans Fangohr](https://github.com/fangohr)<sup>2,4,6</sup> <sup>1</sup> *Department of Earth Science and Engineering, Imperial College London, London SW7 2AZ, UK* <sup>2</sup> *Faculty of Engineering and Physical Sciences, University of Southampton, Southampton SO17 1BJ, UK* <sup>3</sup> *Department of Physics, University of Warwick, Coventry CV4 7AL, UK* <sup>4</sup> *Max Planck Institute for the Structure and Dynamics of Matter, Luruper Chaussee 149, 22761 Hamburg, Germany* <sup>5</sup> *Research Software Group, University of Birmingham, Birmingham B15 2TT, UK* <sup>6</sup> *Center for Free-Electron Laser Science, Luruper Chaussee 149, 22761 Hamburg, Germany* | Description | Badge | | --- | --- | | Tests | [![Build status](https://github.com/ubermag/discretisedfield/workflows/workflow/badge.svg)](https://github.com/ubermag/discretisedfield/actions?query=workflow%3Aworkflow) | | | [![conda](https://github.com/ubermag/discretisedfield/workflows/conda/badge.svg)](https://github.com/ubermag/discretisedfield/actions?query=workflow%3Aconda) | | Linting | [![pre-commit.ci status](https://results.pre-commit.ci/badge/github/ubermag/discretisedfield/master.svg)](https://results.pre-commit.ci/latest/github/ubermag/discretisedfield/master) | | | [![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black) | | Releases | [![PyPI version](https://badge.fury.io/py/discretisedfield.svg)](https://badge.fury.io/py/discretisedfield) | | | [![Anaconda-Server Badge](https://anaconda.org/conda-forge/discretisedfield/badges/version.svg)](https://anaconda.org/conda-forge/discretisedfield) | | Coverage | [![codecov](https://codecov.io/gh/ubermag/discretisedfield/branch/master/graph/badge.svg?token=hcK4fofmrL)](https://codecov.io/gh/ubermag/discretisedfield) | | Documentation | [![Documentation](https://img.shields.io/badge/Docs-ubermag.github.io-blue)](https://ubermag.github.io/documentation/discretisedfield.html) | | YouTube | [![YouTube](https://img.shields.io/badge/YouTube-ubermag-blue)](https://www.youtube.com/channel/UC7MSqVQSMFV42R1jAYmKGLg) | | Binder | [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/ubermag/discretisedfield/latest?urlpath=lab/tree/docs) | | Platforms | [![Platforms](https://anaconda.org/conda-forge/discretisedfield/badges/platforms.svg)](https://anaconda.org/conda-forge/discretisedfield) | | Downloads | [![Downloads](https://anaconda.org/conda-forge/discretisedfield/badges/downloads.svg)](https://anaconda.org/conda-forge/discretisedfield) | | License | [![License](https://img.shields.io/badge/License-BSD%203--Clause-blue.svg)](https://opensource.org/licenses/BSD-3-Clause) | | DOI | [![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.3539461.svg)](https://doi.org/10.5281/zenodo.3539461) | ## About `discretisedfield` is a Python package, integrated with Jupyter, providing: - definition of finite-difference regions, meshes, lines, and fields, - analysis of finite-difference fields, - visualisation using `matplotlib` and `k3d`, and - manipulation of different file types (OVF, VTK, and HDF5). It is available on Windows, MacOS, and Linux. It requires Python 3.8+. ## Documentation APIs and tutorials are available in the documentation. To access the documentation, use the badge in the table above. ## Installation, testing, and upgrade We recommend installation using `conda` package manager. Instructions can be found in the [documentation](https://ubermag.github.io/installation.html). ## Binder This package can be used in the cloud via Binder. To access Binder, use the badge in the table above. ## YouTube YouTube video tutorials are available on the [Ubermag channel](https://www.youtube.com/channel/UC7MSqVQSMFV42R1jAYmKGLg). ## Support If you require support, have questions, want to report a bug, or want to suggest an improvement, please raise an issue in [ubermag/help](https://github.com/ubermag/help) repository. ## Contributions All contributions are welcome, however small they are. If you would like to contribute, please fork the repository and create a pull request. If you are not sure how to contribute, please contact us by raising an issue in [ubermag/help](https://github.com/ubermag/help) repository, and we are going to help you get started and assist you on the way. **Contributors**: - [Thomas Kluyver](https://github.com/takluyver) - [Sergii Mamedov](https://github.com/sergii-mamedov) - [Natalie Downing](https://github.com/gamdow) - [Min RK](https://github.com/minrk) - [Rebecca Carey](https://github.com/rlc2v07) ## License Licensed under the BSD 3-Clause "New" or "Revised" License. For details, please refer to the [LICENSE](LICENSE) file. ## How to cite 1. M. Beg, M. Lang, and H. Fangohr. Ubermag: Towards more effective micromagnetic workflows. [*IEEE Transactions on Magnetics* **58**, 7300205](https://doi.org/10.1109/TMAG.2021.3078896) (2022). 2. M. Beg, R. A. Pepper, and H. Fangohr. User interfaces for computational science: A domain specific language for OOMMF embedded in Python. [*AIP Advances* **7**, 56025](http://aip.scitation.org/doi/10.1063/1.4977225) (2017). 3. Marijan Beg, Martin Lang, Samuel Holt, Swapneel Amit Pathak, Ryan A. Pepper, and Hans Fangohr. discretisedfield: Python package for the analysis and visualisation of finite-difference fields. DOI: [10.5281/zenodo.3539461](http://doi.org/10.5281/zenodo.3539461) (2022). ## Acknowledgements - [OpenDreamKit](http://opendreamkit.org/) – Horizon 2020 European Research Infrastructure project (676541) - EPSRC Programme Grant on [Skyrmionics](http://www.skyrmions.ac.uk) (EP/N032128/1)


نیازمندی

مقدار نام
>=0.63.0 ubermagutil
>=1.1 pandas
>=3.3 matplotlib
~=3.0 jupyterlab
>=3.1 h5py
>=2.11 k3d
>=1.6 scipy
- jinja2
- vtk
- xarray
- hvplot
- build
- invoke
- nbval
- pre-commit
- pytest-cov
- twine


زبان مورد نیاز

مقدار نام
>=3.8 Python


نحوه نصب


نصب پکیج whl discretisedfield-0.9:

    pip install discretisedfield-0.9.whl


نصب پکیج tar.gz discretisedfield-0.9:

    pip install discretisedfield-0.9.tar.gz