All notable changes to this project will be documented in this file.
The format is based on Keep a Changelog, and this project adheres to Semantic Versioning.
- Fixed rounding in dynamic_lcia to avoid duplicate entries in dynamic inventory
- Added rounding to 3 decimal places for interpolation weights
- Added support for passing Node objects to
bw_timex.utils.get_exchange
andbw_timex.utils.add_temporal_distribution_to_exchange
.
- Modified the date rounding behavior: Instead of always rounding off the dates in the timeline (using the resolution specified in temporal_grouping), we now round to the nearest year/month/day/hour (depending on temporal_grouping).
- Fixed interface to dynamic_characterization (see https://github.com/brightway-lca/dynamic_characterization/releases/tag/v1.0.0) and pinned version to >=1.0.0.
- Added optional
starting_datetime
argument toTimexLCA.build_timeline
explicitly. Before, it was buried in *args, which were passed to the underlying graph traversal (#93) - Allow multiple calls of
build_timeline
using the sameTimexLCA
object, e.g., using differentstarting_datetime
(#94) - Fixed unintuitive rounding down of timestamps in dynamic characterization. 2024-12-31 would have been rounded to 2024, whereas 2025 makes more sense here. Now we round to the nearest year (https://github.com/brightway-lca/bw_timex/commit/21fa55bbcafee196447840c6518b5fee49fb6660)
- Added labels and units to the y-axis in
TimexLCA.plot_dynamic_characterized_inventory()
- Fixed functions for creating labelled matrix representations
- Added utility function
utils.add_temporal_distribution_to_exchange()
for easier temporalization of existing models - Added more clarifying docstrings, created a "Getting Started" section in the docs as well as a
getting_started.ipynb
. Also overhauled existing example notebooks. - Changed naming of the different score attributes to be more clear and turned them into a @property:
TimexLCA.base_score
:=TimexLCA.static_lca.score
(no time-explicit information)TimexLCA.static_score
:=TimexLCA.lca.score
(time-explicit LCI w/ static characterization)TimexLCA.dynamic_score
:=TimexLCA.characterized_inventory["amount"].sum()
(time-explicit LCI w/ dynamic characterization, summed overall score)
- Fixed amounts for negative production amounts (#83)
- Allow absolute temporal distributions (#81)
- Moved dynamic characterization functionality completely to dynamic_characterization. In the course of this, it was dynamic characterization was updated and is much faster now. See also brightway-lca/dynamic_characterization#3
- Fixed some dependencies
- Performance improvements
- Added option to calculate the dynamic LCI directly from the timeline without expanding the technosphere matrix
- Refactored dynamic characterization to separate package dynamic_characterization
- Handled emissions occurring outside of fixed time horizon in dynamic characterization #46
- Fix substitution exchanges #53
- Fix non-unitary production exchanges #55
- Renamed repo and package to bw_timex
- Fixed error in dynamic characterization if IDs were stored as flow identifiers in methods
- Update to match Bugfix in bw_temporalis v1.1: static_activity_indices are database IDs instead of matrix IDs
- Improved user-friendliness for SETAC
- Initial version with core functionalities