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-0.3.2.tar.gz
(27.0 kB
view details)
File details
Details for the file wurst-0.3.2.tar.gz.
File metadata
- Download URL: wurst-0.3.2.tar.gz
- Upload date:
- Size: 27.0 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/0.0.0 CPython/3.10.4
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
b74415086bdfa4cede38f47febaa9ce7e7b40ad201bed9f0fbd1517d3e9e3bb2
|
|
| MD5 |
47eb4ff9a453d43a7e7ba9af579f1616
|
|
| BLAKE2b-256 |
e5b76f03044369682cc0f918ee05f3a8124ee8e03e98b12e71377d399ea32ef9
|
