No project description provided
Project description
Ensemble Tools
This package provides core functionality to Python-based tools developed within the framework of Waves to Weather - Transregional Collaborative Research Project (SFB/TRR165).
Shared functionality includes:
- Clustering (
enstools.clustering
) - Interpolation (
enstools.interpolation
) - Reading and Writing data (
enstools.io
) - Retrieval of open data (
enstools.opendata
) - Post-processing (
enstools.post
) - Scores (
enstools.scores
)
Installation
pip
is the easiest way to install enstools
along with all dependencies.
pip install enstools
Documentation
Explore our documentation.
Acknowledgment and license
Ensemble Tools (enstools
) is a collaborative development within
Waves to Weather (SFB/TRR165) coordinated by the subproject
Z2 and funded by the
German Research Foundation (DFG).
A full list of code contributors can CONTRIBUTORS.md.
The code is released under an Apache-2.0 licence.
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
enstools-2023.4.1.tar.gz
(100.8 kB
view hashes)
Built Distribution
enstools-2023.4.1-py3-none-any.whl
(124.7 kB
view hashes)
Close
Hashes for enstools-2023.4.1-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 25ca9c5619f2de02bcaae92c59bc24117070507ea4be00aeeed0726aa83e7b5d |
|
MD5 | fcba300a5cee8ecdb48576d5eb93bcdd |
|
BLAKE2b-256 | c76a4e14269125bd5c248146c164f25dcf9d3bb749fd968b0d255f7bd4a8a83b |