v1.0.10

Update of docs

v1.0.9

Updated anonymize

The anonymize function needed to be updated to reflect the introduction of LEI in the CTA and the protfolio.
We have also made a notebook for a simple calculation of Portfolio Coverage using the WATS aggregation method. The NB only requires a portfolio as input.

v1.0.8

Need to bump version to fix dependencies

v1.0.7

This release introduces changes needed to read the new format of the SBTi's target dash board, known as the CTA file (Companies Taking Action). Since the new file format provides one target per line (vs one line per company previously), there can be several lines per company. Therefore a small filtering method has been included in the sbti.py file.

Furthermore, packages and dependencies have been changed to support Python 3.9.

v1.0.6

Adds fetching of the file "companies taking action" (CTA) from the SBTi website during runtime. This will ensure that we always show the latest available information on companies with validated targets, which is important for a correct calculation of portfolio coverage.
Adds the use of LEI to identify companies besides ISIN. The CTA file now uses both identifiers. However, since many companies don't have ISIN it is important to also use LEI in order to correctly identify companies with validated targets.

v1.0.5

Fixed an errror in target_validation and added check that target end year is > current year.

v1.0.4

We needed to step down to python 3.7 to be able to run the tool in Google Colab. And som bug fixes.

v1.0.3

What's Changed

• Fix reduction_ambition to correctly use s2 by @pjankows in #269
• Bump ipython from 7.30.1 to 7.31.1 by @dependabot in #271

New Contributors

• @pjankows made their first contribution in #269
• @dependabot made their first contribution in #271

Full Changelog: v1.0.2...v1.0.3

Bug fix and updated README

v1.0.2

v1.0.2

Update after move of repo.

The repo has been moved so there are some links on the docs that have been modified. There is also a modified handling of missing ghg emissions data such that the program doesn't stop if data is missing but the aggregation method is limited to WATS (since ghg data is needed for other aggregation methods).