konstantinstadler/pymrio: Bugfix release

Description Pymrio is an open source tool for analysing global environmentally extended multi-regional input-output tables (EE MRIOs). Pymrio aims to provide a high-level abstraction layer for global EE MRIO databases in order to simplify common EE MRIO data tasks. Pymrio includes automatic download functions and parsers for available EE MRIO databases like EXIOBASE, WIOD, OECD ICIO and EORA26. It automatically checks parsed EE MRIOs for missing data necessary for calculating standard EE MRIO accounts (such as footprint, territorial, impacts embodied in trade) and calculates all missing tables. Various data report and visualization methods help to explore the dataset by comparing the different accounts across countries. Changelog - v0.4.2 Bugfixes Fixed: OECD parsing bug caused by pandas update Fixed: Missing inclusion of auxiliary data for exiobase 2 Fixed: Making python version explicit and update package requirements Fixed: hard-coded OS specific path Development switched to black code style updated travis.yml for testing different python versions added github workflows for automated releases switched to git trunk based developmen