Robust estimation of linear response functions
Project description
razorback
An open source python library for magnetotelluric robust processing.
It provides robust (M-estimator, Bounded Influence) and multi-remote methods for MT.
How to cite
If you use this software in a scientific publication, we'd very much appreciate if you could cite the following paper:
- Smaï, F., and Wawrzyniak, P., 2020. Razorback, an open source Python library for robust processing of magnetotelluric data. Frontiers in Earth Science. https://doi.org/10.3389/feart.2020.00296
Installing
Just use pip
to get razorback and all its dependencies:
pip install razorback
Tutorials
Get the tutorials and their attached data by cloning the repository with its submodules:
git clone --recursive https://github.com/brgm/razorback.git
You will find the tutorials in ./docs/source/tutorials/
Dependencies
- Python >= 3.6
- Numpy
- Scipy
- Dask
Supported Platforms
Linux, Windows, MacOS
Running tests
To run the tests, clone the repository and run pytest in the main directory:
pytest
Documentation
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
razorback-0.3.1.tar.gz
(26.4 kB
view hashes)
Built Distribution
razorback-0.3.1-py3-none-any.whl
(41.7 kB
view hashes)
Close
Hashes for razorback-0.3.1-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 7001d6cd58c1cf1bf55b800ebdb3ce63d37591c643fe2724d4c1c910ccb12986 |
|
MD5 | c3ca67867160498048e52fdbfa55b32d |
|
BLAKE2b-256 | 9cabcc3d04f7b681772a69326a7e4b4a48438b1265fe238df005d427c046c00d |