Python package for manipulating OOMMF and mumax3 tabular data.
Project description
ubermagtable
Marijan Beg1,2, Vanessa Nehruji1, Sergii Mamedov2, Ryan A. Pepper1, Thomas Kluyver2, and Hans Fangohr2,1
1 Faculty of Engineering and Physical Sciences, University of Southampton, Southampton SO17 1BJ, United Kingdom
2 European XFEL GmbH, Holzkoppel 4, 22869 Schenefeld, Germany
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About
ubermagtable is a Python package that provides:
- Conversion of scalar data files (OOMMF
.odtand mumax3.txt) topandas.DataFrames - Merging of multiple OOMMF
.odtfiles into a singlepandas.DataFrame
It is available on all major operating systems (Windows, MacOS, Linux) and requires Python 3.6 or higher.
It is available on all major operating systems (Windows, MacOS, and Linux) and requires Python 3.6 or higher.
Documentation
APIs and tutorials as Jupyter notebooks are available as a part of documentation.
Installation, testing, and upgrade
We support installation using conda and pip package managers. Instructions can be found in the documentation.
Binder
This package can be used in the cloud via Binder. This does not require to have anything installed and no files will be created on your machine. To access Binder, use the Binder badge in the table above.
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 repository.
License
Licensed under the BSD 3-Clause "New" or "Revised" License. For details, please refer to the LICENSE file.
How to cite
If you use this package, please cite it as:
-
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 (2017).
-
M. Beg, V. Nehruji, S. Mamedov, R. A. Pepper, T. Kluyver, and H. Fangohr. ubermag/ubermagtable: Python package for manipulating tabular data. Zenodo. DOI: 10.5281/zenodo.3539492 (2020).
Acknowledgements
Developed as a part of:
-
OpenDreamKit – Horizon 2020 European Research Infrastructure project (676541)
-
EPSRC Programme grant on Skyrmionics (EP/N032128/1).
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