tngtudor / ecospold2matrix

Class for recasting Ecospold2 LCA dataset into Leontief matrix representations or Supply and Use Tables

Ecospold2Matrix

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).

Basic functionality

• Conveniently store and log all parameters relevant to the data manipulation
• Perform basic quality checks on data, and fix some potential issues
• Arrange allocated data as Leontief technical coefficient matrix, with environmental extensions and labels
• Arrange unallocated data as SUT
• Optionally, change sign conventions for waste treatment
• Optionally, scale elementary and intermediate flows to recorded production volumes
• Save matrices to various different formats

Installation

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 project

Simple Use case

	import 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)

Short Demo

Have a look at this Ipython notebook for a demo of typical usage

Dependencies

• Python 3
• Pandas
• Numpy
• Scipy
• lxml
• Six
• xlrd
• xlwt

Open Source

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.