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        "author": "Konstantin Stadler",
        "author_email": "konstantin.stadler@ntnu.no",
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            "Development Status :: 4 - Beta",
            "Environment :: Console",
            "Intended Audience :: Developers",
            "Intended Audience :: End Users/Desktop",
            "Intended Audience :: Science/Research",
            "License :: OSI Approved :: GNU General Public License v3 (GPLv3)",
            "Operating System :: MacOS :: MacOS X",
            "Operating System :: Microsoft :: Windows",
            "Operating System :: POSIX",
            "Programming Language :: Python",
            "Programming Language :: Python :: 3.7",
            "Programming Language :: Python :: 3 :: Only",
            "Topic :: Scientific/Engineering",
            "Topic :: Utilities"
        ],
        "description": "############\nPymrio\n############\n\nPymrio: Multi-Regional Input-Output Analysis in Python.\n\n.. image:: https://badge.fury.io/py/pymrio.svg\n    :target: https://badge.fury.io/py/pymrio\n.. image:: https://anaconda.org/konstantinstadler/pymrio/badges/version.svg   \n     :target: https://anaconda.org/konstantinstadler/pymrio\n.. image:: https://travis-ci.org/konstantinstadler/pymrio.svg?branch=master\n    :target: https://travis-ci.org/konstantinstadler/pymrio\n.. image:: https://coveralls.io/repos/github/konstantinstadler/pymrio/badge.svg?branch=master\n    :target: https://coveralls.io/github/konstantinstadler/pymrio\n.. image:: https://readthedocs.org/projects/pymrio/badge/?version=latest\n    :target: http://pymrio.readthedocs.io/en/latest/?badge=latest\n    :alt: Documentation Status\n.. image:: https://img.shields.io/badge/License-GPL%20v3-blue.svg\n    :target: https://www.gnu.org/licenses/gpl-3.0\n.. image:: https://zenodo.org/badge/21688312.svg\n    :target: https://zenodo.org/badge/latestdoi/21688312\n\nWhat is it\n==========\n\nPymrio is an open source tool for analysing global environmentally extended multi-regional input-output tables (EE MRIOs). \nPymrio aims to provide a high-level abstraction layer for global EE MRIO databases in order to simplify common EE MRIO data tasks. \nPymrio includes automatic download functions and parsers for available EE MRIO databases like EXIOBASE_, WIOD_ and EORA26_. \nIt 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. \nVarious data report and visualization methods help to explore the dataset by comparing the different accounts across countries. \n\nFurther functions include:\n\n- analysis methods to identify where certain impacts occur\n- modifying region/sector classification\n- restructuring extensions\n- export to various formats\n- visualization routines and \n- automated report generation\n  \n\nWhere to get it\n===============\n\nThe full source code is available on Github at: https://github.com/konstantinstadler/pymrio\n\nPymrio is registered at PyPI and on the Anaconda Cloud. Install it by:\n\n.. code:: bash\n\n    pip install pymrio --upgrade\n    \nor\n\n.. code:: bash\n\n    conda install -c konstantinstadler pymrio\n\nQuickstart    \n==========\n\nA small test mrio is included in the package. \n\nTo use it call\n\n.. code:: python\n\n    import pymrio\n    test_mrio = pymrio.load_test()\n\nThe test mrio consists of six regions and eight sectors:  \n\n.. code:: python\n\n\n    print(test_mrio.get_sectors())\n    print(test_mrio.get_regions())\n\nThe test mrio includes tables flow tables and some satellite accounts. \nTo show these:\n\n.. code:: python\n\n    test_mrio.Z\n    test_mrio.emissions.F\n    \nHowever, some tables necessary for calculating footprints (like test_mrio.A or test_mrio.emissions.S) are missing. pymrio automatically identifies which tables are missing and calculates them: \n\n.. code:: python\n\n    test_mrio.calc_all()\n\nNow, all accounts are calculated, including footprints and emissions embodied in trade:\n\n.. code:: python\n\n    test_mrio.A\n    test_mrio.emissions.D_fp\n    test_mrio.emissions.D_exp\n\nTo visualize the accounts:\n\n\n.. code:: python\n\n    import matplotlib as plt\n    test_mrio.emissions.plot_account('emission_type1')\n    plt.show()\n\nEverything can be saved with\n\n.. code:: python\n    \n    test_mrio.save_all('some/folder')\n\nSee the documentation_ and tutorials_ for further examples.\n\nTutorials\n=========\n\nThe documentation_ includes information about how to use pymrio for automatic downloading_ and parsing_ of the EE MRIOs EXIOBASE_, WIOD_, OECD_ and EORA26_ as well as tutorials_ for the handling, aggregating and analysis of these databases. \n\nContributing\n=============\n\nWant to contribute? Great!\nPlease check `CONTRIBUTING.rst`_ if you want to help to improve Pymrio.\n  \n.. _CONTRIBUTING.rst: https://github.com/konstantinstadler/pymrio/blob/master/CONTRIBUTING.rst\n   \nCommunication, issues, bugs and enhancements\n============================================\n\nPlease use the issue tracker for documenting bugs, proposing enhancements and all other communication related to pymrio.\n\nYou can follow me on twitter_ to get the latest news about all my open-source and research projects (and occasionally some random retweets).\n\n.. _twitter: https://twitter.com/kst_stadler\n\n.. _downloading: http://pymrio.readthedocs.io/en/latest/notebooks/autodownload.html\n.. _parsing: http://pymrio.readthedocs.io/en/latest/handling.html\n.. _documentation: http://pymrio.readthedocs.io/en/latest/\n.. _tutorials: http://pymrio.readthedocs.io/en/latest/handling.html\n\n.. _EXIOBASE: http://www.exiobase.eu/\n.. _WIOD: http://www.wiod.org/home\n.. _OECD: https://www.oecd.org/sti/ind/inter-country-input-output-tables.htm\n.. _EORA26: http://www.worldmrio.com/simplified/",
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