https://github.com/arcticsnow/probextreme
Python Library for Extreme Event Characterisation
https://github.com/arcticsnow/probextreme
climate-science extreme-value-statistics extremes meteorology
Last synced: 4 months ago
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Python Library for Extreme Event Characterisation
- Host: GitHub
- URL: https://github.com/arcticsnow/probextreme
- Owner: ArcticSnow
- License: gpl-3.0
- Created: 2024-12-06T08:41:46.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2024-12-18T08:28:23.000Z (over 1 year ago)
- Last Synced: 2025-09-09T09:49:16.182Z (9 months ago)
- Topics: climate-science, extreme-value-statistics, extremes, meteorology
- Language: Python
- Homepage: https://probextreme.readthedocs.io/en/latest/
- Size: 84 KB
- Stars: 0
- Watchers: 2
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# Probextreme
Python Library for Extreme Event Characterisation.
See documentation: https://probextreme.readthedocs.io/en/latest/
**This library is under construction**
## Installation
```bash
git clone https://github.com/ArcticSnow/probextreme.git
# install in development mode
pip install -e probextreme
```
## Documentation
To display the documentation, install the package `mkdocs`, and run the command `mkdocs serve` from the `probextreme` root directory.
```sh
pip install mkdocs
mkdocs serve
```
## ToDo
### Short term
- [x] add Bayesian temporal dependencies
- [ ] add example notebooks (see Bérarde cases). Provide sample datasets
- [ ] add Bayesian Pareto
- [ ] add Mann-Kendall test for trend significance
- [ ] add trends fitting
### Long term development
- seasonal extremes
- Bayesian plotting