A Python class to parse an ecospold2 life cycle assessment dataset and arrange it as matrices for further calculations.
It can recast an Ecoinvent 3 database into a Leontief coefficient matrix with extensions, or it can arrange the unallocated Ecoinvent data as Supply and Use tables (SUT).
Now the code can be installed with:
pip install git+git://github.com/repo_owner/ecospold2matrix#egg=ecospold2matrix
where
repo_owner
could be: majeau-bettez or tngTUDOR or any fork of the projectimport ecospold2matrix as e2m
# Define parser object, with default and project-specific parameters
# Make sure that the path database/location holds the datasets and MasterData folders
parser = e2m.Ecospold2Matrix('/database/location/', project_name='eco31_cons', positive_waste=True)
# Assemble matrices, including scaled-up flow matrices, and save to csv-files
parser.ecospold_to_Leontief(fileformats=['csv'], with_absolute_flows=True)
Or else...
import ecospold2matrix as em
charfile = 'ecoinvent_3.3_LCIA_implementation/LCIA_implementation_3.3.xlsx'
parser = em.Ecospold2Matrix(
sys_dir = 'ecoinvent_3.3_consequential_ecoSpold02/',
lci_dir = 'ecoinvent_3.3_consequential_lci_ecoSpold02/datasets',
positive_waste=True,
prefer_pickles=True,
project_name='ecoinvent33cons',
version_name='ecoinvent33')
parser.ecospold_to_Leontief(characterisation_file=charfile, lci_check=True)
Have a look at this Ipython notebook for a demo of typical usage
This tool incorporates some code from the open-source Brightway2 project. Ecospold2Matrix is also open-source, so feel most welcome to use, give feedback, modify or contribute.