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Recent Releases of pymrio

pymrio - Regional spec characterization and more

v0.6.0 - 20250616

Breaking Changes

  • The characterize function of the extension object has been reimplemented.
    The updated method generalises the previous approach for region- and sector-specific characterisations.
    It is closely integrated with the general characterize function, enabling characterisation across
    different extensions (refer to the section under New Features).

  • The get_extensions function has a revised signature, introducing two new parameters: names and instance_names.

    • names: Enables filtering of extensions by name (either the .name attribute or instance names).
      It also allows passing the extension itself and can be used to harmonise the names within an extension list.
    • instance_names: When set to False, retrieves the "set names" of the extensions.

    Existing keyword arguments should continue to function with the new signature.

  • The behaviour of remove_extension has been modified. Previously, all extensions were removed if no name was provided.
    Now, all extensions are retained when no name is specified, and a TypeError is raised.
    To remove all extensions, use mrio.remove_extension(mrio.get_extensions()).

  • The concate_extension function has been renamed to extension_concate for consistency with extension_convert and _characterize.

  • The concate_extension argument name has been renamed to new_extension_name.

New Features

  • A new top-level characterize function has been introduced.

  • Extension concatenation functionality is now available as a method of an mrio object.

  • Added functionality to download and parse the 2023 release of OECD IO tables (contributed by @jaimeoliver1, #132).

  • Optional Ghosh implementation for downstream analysis has been added (contributed by @Beckebanze, #136, #146).

    • Equivalent of matrix A for Ghosh (referred to as B in pymrio).
    • The Ghosh inverse (commonly referred to as G in literature).
    • Downstream scope 3 multiplier, M_{down}, such that the sum of M + M_{down} represents the full scope multiplier.
      Here, M is the existing multiplier in pymrio, covering scopes 1, 2, and 3 upstream.
    • A brief addition to the pymrio background documentation introducing the Ghosh model.
    • Tests verifying the functionality of the added features.

    To utilise this feature, pass include_ghosh=True to the calc_all or calc_system calls.

  • Some convenience functions have been added to the MRIO object.

    • sectors ... shortand for mrio.get_sectors()
    • regions ... shorthand for mrio.get_regions()
    • Y_categories ... shorthand for mrio.get_Y_categories()
    • rows ... shorthand for mrio.extension.get_rows()
    • extensions ... shorthand for mrio.get_extensions(instance_names=False)
    • extensions_instance_names ... shorthand for mrio.get_extensions(instance_names=True)
    • DataFrame ... shorthand for mrio.get_dataframe()

  • New "full" tutorial at https://pymrio.readthedocs.io/en/latest/notebooks/full_tutorial.html

Deprecated

  • extension.get_row_data(): This method is deprecated and will be removed in a future version. Use extension.extract() as an alternative.

Miscellaneous

  • Documentation has been updated and restructured.

  • Multiple warnings related to deprecation in pandas have been resolved.

  • Adopted OECD ICIO MRIO column rename to out (contributed by @spjuhel, #160).

  • Fixed warnings regarding regex characters (contributed by @pcorpet, #155).

  • Adopted the Github CI workflows to the newest versions, including (test)PyPI uploads

Industrial Ecology - Input Output Model - Python
Published by konstantinstadler 14 days ago

pymrio - OECD update and Gosh implementation

v0.5.4 - 20240412

  • added functionality to download and parse 2023 release of OECD IO tables (by @jaimeoliver1, #132)

  • Added draft Gosh implementation for downstream analysis (by @Beckebanze , #136)

    • equivalent of A for Ghosh (A* in literature, called As in pymrio)
    • the Ghosh inverse (often referred to G in literature).
    • downstream scope 3 multiplier, M_{down}, such the sum of the M+M_{down} is the full scope multiplier, with M the existing multiplier in pymrio that covers scope 1,2&3 upstream.
    • a short addition to the pymrio background page that introduces the Ghosh model
    • tests that test the functionality of the added functions

Industrial Ecology - Input Output Model - Python
Published by konstantinstadler about 1 year ago

pymrio - zenodo api update

v0.5.3 - 20231023

Bugfixes

  • Fix downloader for new Zenodo API (by @hazimhussein)
  • Fix coverage report (by @konstantinstadler)

Industrial Ecology - Input Output Model - Python
Published by konstantinstadler over 1 year ago

pymrio - OECD/EORA fix

Small fix for OECD and EORA downloader/parser
Some internal updates

New features

Development

  • Switched to Micromamba in the CI
  • Fixed readthedocs settings

Industrial Ecology - Input Output Model - Python
Published by konstantinstadler almost 2 years ago

pymrio - bugfix version numbering

small bugfix release to fix version number

Industrial Ecology - Input Output Model - Python
Published by konstantinstadler about 2 years ago

pymrio - move to IndEcol and LGPL

Development

Breaking changes

  • dropped support for Python 3.7 and added 3.10 and 3.11
  • License changed to LESSER GNU GENERAL PUBLIC LICENSE v3 (LGPLv3)
  • added pyarrow as requirment

New features

  • Autodownloader for GLORIA MRIO (by @hazimhussein)
  • Support of parquet format for load and save function

Bugfixes

  • Fix Eora downloader (by @hazimhussein)

Industrial Ecology - Input Output Model - Python
Published by konstantinstadler about 2 years ago

pymrio - minor classification updates and bugfixes

Classifications

  • Added inbuild classification for

    • Test MRIO
    • EXIOBASE 2
    • EXIOBASE 3

  • Method for renaming sectors/regions based on the built in classification

  • Method for aggregating duplicated indexes

Bugfixes

  • F_Y was removed in reset_full - fixed
  • updated deprecated pandas methods - fix #93

Industrial Ecology - Input Output Model - Python
Published by konstantinstadler over 2 years ago

pymrio - OECD update

Update to process the new OECD tables (ICIO 2021)

Industrial Ecology - Input Output Model - Python
Published by konstantinstadler about 3 years ago

pymrio - gross trade calculation

What's Changed

New Contributors

Full Changelog: https://github.com/konstantinstadler/pymrio/compare/v0.4.5...v0.4.6

Industrial Ecology - Input Output Model - Python
Published by konstantinstadler over 3 years ago

pymrio - bugfix of characterization matrix

v0.4.5 (March 03, 2021)

Bugfixes

  • Index sorting consistent for all characterized impacts

Industrial Ecology - Input Output Model - Python
Published by konstantinstadler over 4 years ago

pymrio - characterization method bugfix

Changelog

v0.4.4 (February 26, 2021)

Bugfixes

  • Characterization for cases when some stressors are missing from the characterization matrix
  • Spelling mistakes
  • Fixed installation description in readme and documentation

v0.4.3 (February 24, 2021)

New features

  • Added automatic downloader for EXIOBASE 3 files
  • Method for characterizing stressors (pymrio.Extension.characterize)

Bugfixes

  • Fixed: xlrd and numpy requirments for later pandas versions

Development

  • Switched from travis to github actions for testing and converage reports

Industrial Ecology - Input Output Model - Python
Published by konstantinstadler over 4 years ago

pymrio - Automated EXIBOASE download and characterization method

Changelog

v0.4.3 (February 24, 2021)

New features

  • Added automatic downloader for EXIOBASE 3 files
  • Method for characterizing stressors (pymrio.Extension.characterize)

Bugfixes

  • Fixed: xlrd and numpy requirments for later pandas versions

Development

  • Switched from travis to github actions for testing and converage reports

Industrial Ecology - Input Output Model - Python
Published by konstantinstadler over 4 years ago

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 development

Industrial Ecology - Input Output Model - Python
Published by konstantinstadler over 4 years ago

pymrio - Hotfix Release - EXIOBASE 3 zip parsing on windows

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.

Bugfixes

  • Fixed: Parsing EXIOBASE 3 from zip on Windows system
  • Fixed: Doc spelling

New features

  • The tutorial notebooks of the documentation are now also used for integration
    tests. See CONTIBUTING.rst for more infos.

Industrial Ecology - Input Output Model - Python
Published by konstantinstadler over 5 years ago

pymrio - Release 0.4.0

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.

New features

  • New parser and automatic downloader for the OECD-ICIO tables (2016 and 2018
    release)
  • Improved test coverage to over 90 %
  • Equality comparison for MRIO System and Extension

Bugfixes

  • Fixed some typos

Backward incompatible changes

  • Minimum python version changed to 3.7
  • The FY and SY matrixes has been renamed to F_Y and S_Y. Previously stored
    data, however, can still be read (FY/SY files are automatically parsed as F_Y
    and S_Y)

Industrial Ecology - Input Output Model - Python
Published by konstantinstadler almost 6 years ago

pymrio - Hotfix Release 0.3.8

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 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.

v0.3.8 (November 06, 2018)

Hotfix for two EXIOBASE 3 issues

  • FY in the raw files is named F_hh. F_hh now get automatically renamed to FY.
  • In the ixi tables of EXIOBASE 3 some tables had ISO3 country names. The parser now renames these names to the standard ISO2.

v0.3.7 (October 10, 2018)

New features

  • pymrio.parse_exiobase3, accepting the compressed archive files and extraced data (solves #26)
  • pymrio.archive for archiving MRIO databases into zipfiles (solves #26)
  • pymrio.load and pymrio.load_all can read data directly from a zipfile (solves #26)

Bugfixes

  • Calculate FY and SY when final demand impacts are available (fixes issue #28)
  • Ensures that mrio.x is a pandas DataFrame (fixes issue #24)
  • Some warning if a reset method would remove data beyond recovery by calc_all (see issue #23 discussion)

Removed functionality

  • Removed the Eora26 autodownloader b/c worldmrio.com needs a registration now (short time fix for #34)

Misc

  • pymrio now depends on python > 3.6
  • Stressed the issue driven development in CONTRIBUTING.rst

v0.3.6 (March 12, 2018)

Function get_index now has a switch to return dict
for direct input into pandas groupby function.

Included function to set index across dataframes.

Docs includes examples how to use pymrio with pandas groupby.

Improved test coverage.

v0.3.5 (Jan 17, 2018)

Added xlrd to requirements

v0.3.4 (Jan 12, 2018)

API breaking changes

  • Footprints and territorial accounts were renamed to "consumption based accounts" and "production based accounts": D_fp was renamed to D_cba and D_terr to D_pba

v0.3.3 (Jan 11, 2018)

Note: This includes all changes from 0.3 to 0.3.3

  • downloaders for EORA26 and WIOD

  • codebase fully pep8 compliant

  • restructured and extended the documentation

  • License changed to GNU GENERAL PUBLIC LICENSE v3

Dependencies

  • pandas minimal version changed to 0.22
  • Optional (for aggregation): country converter coco >= 0.6.3

API breaking changes

  • The format for saving MRIOs changed from csv + ini to csv + json. Use the method '_load_all_ini_based_io' to read a previously saved MRIO and than save it again to convert to the new save format.
  • method set_sectors(), set_regions() and set_Y_categories() renamed to rename_sectors() etc.
  • connected the aggregation function to the country_converter coco
  • removed previously deprecated method 'per_source'. Use 'diag_stressor' instead.

v0.2.2 (May 27, 2016)

Dependencies

  • pytest. For the unit tests.

Misc

  • Fixed filename error for the test system.
  • Various small bug fixes.
  • Preliminary EXIOBASE 3 parser.
  • Preliminary World Input-Output Database (WIOD) parser.

v0.2.1 (Nov 17, 2014)

Dependencies

  • pandas version > 0.15. This required some change in the xls reading within
    the parser.
  • pytest. For the unit tests.

Misc

  • Unit testing for all mathematical functions and a first system wide check.
  • Fixed some mistakes in the tutorials and readme

v0.2.0 (Sept 11, 2014)

API changes

  • IOSystem.reset() replaced by IOSystem.reset_all_to_flows()
  • IOSystem.reset_to_flows() and IOSystem.reset_to_coefficients() added
  • Version number attribute added
  • Parser for EXIOBASE like extensions (pymrio.parse_exio_ext) added.
  • plot_accounts now works also for for specific products (with parameter "sector")

Misc

  • Several bugfixes
  • Mainmodule split into several packages and submodules
  • Added 3rd tutorial
  • Added CHANGELOG

v0.1.0 (June 20, 2014)

Initial version

Industrial Ecology - Input Output Model - Python
Published by konstantinstadler over 6 years ago

pymrio - Release 0.3.7

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 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.

v0.3.7 (October 10, 2018)

New features

  • pymrio.parse_exiobase3, accepting the compressed archive files and extraced data (solves #26)
  • pymrio.archive for archiving MRIO databases into zipfiles (solves #26)
  • pymrio.load and pymrio.load_all can read data directly from a zipfile (solves #26)

Bugfixes

  • Calculate FY and SY when final demand impacts are available (fixes issue #28)
  • Ensures that mrio.x is a pandas DataFrame (fixes issue #24)
  • Some warning if a reset method would remove data beyond recovery by calc_all (see issue #23 discussion)

Removed functionality

  • Removed the Eora26 autodownloader b/c worldmrio.com needs a registration now (short time fix for #34)

Misc

  • pymrio now depends on python > 3.6
  • Stressed the issue driven development in CONTRIBUTING.rst

v0.3.6 (March 12, 2018)

Function get_index now has a switch to return dict
for direct input into pandas groupby function.

Included function to set index across dataframes.

Docs includes examples how to use pymrio with pandas groupby.

Improved test coverage.

v0.3.5 (Jan 17, 2018)

Added xlrd to requirements

v0.3.4 (Jan 12, 2018)

API breaking changes

  • Footprints and territorial accounts were renamed to "consumption based accounts" and "production based accounts": D_fp was renamed to D_cba and D_terr to D_pba

v0.3.3 (Jan 11, 2018)

Note: This includes all changes from 0.3 to 0.3.3

  • downloaders for EORA26 and WIOD

  • codebase fully pep8 compliant

  • restructured and extended the documentation

  • License changed to GNU GENERAL PUBLIC LICENSE v3

Dependencies

  • pandas minimal version changed to 0.22
  • Optional (for aggregation): country converter coco >= 0.6.3

API breaking changes

  • The format for saving MRIOs changed from csv + ini to csv + json. Use the method '_load_all_ini_based_io' to read a previously saved MRIO and than save it again to convert to the new save format.
  • method set_sectors(), set_regions() and set_Y_categories() renamed to rename_sectors() etc.
  • connected the aggregation function to the country_converter coco
  • removed previously deprecated method 'per_source'. Use 'diag_stressor' instead.

v0.2.2 (May 27, 2016)

Dependencies

  • pytest. For the unit tests.

Misc

  • Fixed filename error for the test system.
  • Various small bug fixes.
  • Preliminary EXIOBASE 3 parser.
  • Preliminary World Input-Output Database (WIOD) parser.

v0.2.1 (Nov 17, 2014)

Dependencies

  • pandas version > 0.15. This required some change in the xls reading within
    the parser.
  • pytest. For the unit tests.

Misc

  • Unit testing for all mathematical functions and a first system wide check.
  • Fixed some mistakes in the tutorials and readme

v0.2.0 (Sept 11, 2014)

API changes

  • IOSystem.reset() replaced by IOSystem.reset_all_to_flows()
  • IOSystem.reset_to_flows() and IOSystem.reset_to_coefficients() added
  • Version number attribute added
  • Parser for EXIOBASE like extensions (pymrio.parse_exio_ext) added.
  • plot_accounts now works also for for specific products (with parameter "sector")

Misc

  • Several bugfixes
  • Mainmodule split into several packages and submodules
  • Added 3rd tutorial
  • Added CHANGELOG

v0.1.0 (June 20, 2014)

Initial version

Industrial Ecology - Input Output Model - Python
Published by konstantinstadler over 6 years ago

pymrio - Pymrio - regex aggregation of stressors

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 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.

v0.3.6 (March 12, 2018)

Function get_index now has a switch to return dict
for direct input into pandas groupby function.

Included function to set index across dataframes.

Docs includes examples how to use pymrio with pandas groupby.

Improved test coverage.

v0.3.5 (Jan 17, 2018)

Added xlrd to requirements

v0.3.4 (Jan 12, 2018)

API breaking changes

  • Footprints and territorial accounts were renamed to "consumption based accounts" and "production based accounts": D_fp was renamed to D_cba and D_terr to D_pba

v0.3.3 (Jan 11, 2018)

Note: This includes all changes from 0.3 to 0.3.3

  • downloaders for EORA26 and WIOD

  • codebase fully pep8 compliant

  • restructured and extended the documentation

  • License changed to GNU GENERAL PUBLIC LICENSE v3

Dependencies

  • pandas minimal version changed to 0.22
  • Optional (for aggregation): country converter coco >= 0.6.3

API breaking changes

  • The format for saving MRIOs changed from csv + ini to csv + json. Use the method '_load_all_ini_based_io' to read a previously saved MRIO and than save it again to convert to the new save format.
  • method set_sectors(), set_regions() and set_Y_categories() renamed to rename_sectors() etc.
  • connected the aggregation function to the country_converter coco
  • removed previously deprecated method 'per_source'. Use 'diag_stressor' instead.

Industrial Ecology - Input Output Model - Python
Published by konstantinstadler over 7 years ago

pymrio - Updating requirements

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 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.

v0.3.5 (Jan 17, 2018)

Added xlrd to requirements

v0.3.4 (Jan 12, 2018)

API breaking changes

  • Footprints and territorial accounts were renamed to "consumption based accounts" and "production based accounts": D_fp was renamed to D_cba and D_terr to D_pba

v0.3.3 (Jan 11, 2018)

Note: This includes all changes from 0.3 to 0.3.3

  • downloaders for EORA26 and WIOD

  • codebase fully pep8 compliant

  • restructured and extended the documentation

  • License changed to GNU GENERAL PUBLIC LICENSE v3

Dependencies

  • pandas minimal version changed to 0.22
  • Optional (for aggregation): country converter coco >= 0.6.3

API breaking changes

  • The format for saving MRIOs changed from csv + ini to csv + json. Use the method '_load_all_ini_based_io' to read a previously saved MRIO and than save it again to convert to the new save format.
  • method set_sectors(), set_regions() and set_Y_categories() renamed to rename_sectors() etc.
  • connected the aggregation function to the country_converter coco
  • removed previously deprecated method 'per_source'. Use 'diag_stressor' instead.

Industrial Ecology - Input Output Model - Python
Published by konstantinstadler over 7 years ago

pymrio - Renaming of D_fp and D_terr to D_cba and D_pba

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 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.

v0.3.4 (Jan 12, 2018)

API breaking changes

  • Footprints and territorial accounts were renamed to "consumption based accounts" and "production based accounts": D_fp was renamed to D_cba and D_terr to D_pba

v0.3.3 (Jan 11, 2018)

Note: This includes all changes from 0.3 to 0.3.3

  • downloaders for EORA26 and WIOD

  • codebase fully pep8 compliant

  • restructured and extended the documentation

  • License changed to GNU GENERAL PUBLIC LICENSE v3

Dependencies

  • pandas minimal version changed to 0.22
  • Optional (for aggregation): country converter coco >= 0.6.3

API breaking changes

  • The format for saving MRIOs changed from csv + ini to csv + json. Use the method '_load_all_ini_based_io' to read a previously saved MRIO and than save it again to convert to the new save format.
  • method set_sectors(), set_regions() and set_Y_categories() renamed to rename_sectors() etc.
  • connected the aggregation function to the country_converter coco
  • removed previously deprecated method 'per_source'. Use 'diag_stressor' instead.

Industrial Ecology - Input Output Model - Python
Published by konstantinstadler over 7 years ago

pymrio - Pymrio: Multi-Regional Input-Output Analysis in Python.

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 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.

v0.3.3 (Jan 11, 2018)

Note: This includes all changes from 0.3 to 0.3.3

  • downloaders for EORA26 and WIOD

  • codebase fully pep8 compliant

  • restructured and extended the documentation

  • License changed to GNU GENERAL PUBLIC LICENSE v3

Dependencies

  • pandas minimal version changed to 0.22
  • Optional (for aggregation): country converter coco >= 0.6.3

API breaking changes

  • The format for saving MRIOs changed from csv + ini to csv + json. Use the method '_load_all_ini_based_io' to read a previously saved MRIO and than save it again to convert to the new save format.
  • method set_sectors(), set_regions() and set_Y_categories() renamed to rename_sectors() etc.
  • connected the aggregation function to the country_converter coco
  • removed previously deprecated method 'per_source'. Use 'diag_stressor' instead.

Industrial Ecology - Input Output Model - Python
Published by konstantinstadler over 7 years ago