Wurst is a python package for linking and modifying industrial ecology models
Project description
Wurst
Show how the sausage is made!
Wurst is a python package for linking and modifying industrial ecology models, with a focus on sparse matrices in life cycle assessment. It provides the following:
- Helper functions to filter activities and exchanges
- Helper functions to link exchanges
- Transformation functions to change markets, change input efficiencies, and change emissions
- Data IO with Brightway2
- Logging framework and a log browser
See also the separate wurst examples repository.
Installation
Download and install miniconda, create and activate a new environment, and then install::
conda install -y -q -c conda-forge -c cmutel -c haasad -c konstantinstadler brightway2 jupyter wurst
License
BSD 2-clause license. Contributions are welcome!
Authors
- Chris Mutel
- Brian Cox
TODO
- Review BW2 IO code to make sure all needed fields are present in newly-created and modified databases
- Parameterized exchanges (e.g. electricity sector)
- Check logging on all transformation functions
- Log browser web app
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
wurst-0.3.1.tar.gz
(25.4 kB
view details)
File details
Details for the file wurst-0.3.1.tar.gz.
File metadata
- Download URL: wurst-0.3.1.tar.gz
- Upload date:
- Size: 25.4 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.32.1 CPython/3.6.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
0bae67f99a86ca70282c82d9c08798a59e017ee1b5daca2f5001739758f064a5
|
|
| MD5 |
a95357a4b255f773cdc3feaa84ae0c2f
|
|
| BLAKE2b-256 |
f28a490b3415ea6f3ed11c18cb2209bfc305ae8d60a6b85d4255d079d26eaa60
|
