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        "author": "Troels Schwarz-Linnet",
        "author_email": "tlinnet@gmail.com",
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            "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 :: Linux",
            "Programming Language :: Python :: 2.7",
            "Programming Language :: Python :: 3",
            "Topic :: Scientific/Engineering"
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        "description": "=======\nkmdvalg \n=======\n\nWhat is kmdvalg?\n----------------\n\n* It is a wrapper around *BeautifulSoup* to extract data from www.kmdvalg.dk.\n* Bokeh map patches are created with *pyshp* from shapefiles.\n* The shapefile dataset is: 'Digdag (Kommunal)' and 'DAGI 1:2 mio' downloaded 2017/12/03 from https://download.kortforsyningen.dk.\n* The voting information is combined with map information before plotting.\n\nImportant links\n---------------\n\n* Source code: https://github.com/tlinnet/kmdvalg\n* PyPI package: https://pypi.python.org/pypi/kmdvalg\n\nSee examples\n------------------------\n\nUse **nbviewer.jupyter.org** to:\n\n* See Notebook to list Danske kommuner: get_kommune.ipynb_\n* See Notebook to make bokeh map of Kommunevalg 2017: get_kommune_map.ipynb_\n\n.. _get_kommune.ipynb: http://nbviewer.jupyter.org/github/tlinnet/kmdvalg/blob/master/examples/get_kommune.ipynb\n.. _get_kommune_map.ipynb: http://nbviewer.jupyter.org/github/tlinnet/kmdvalg/blob/master/examples/get_kommune_map.ipynb\n\nLaunch interactive Jupyter Notebook mybinder.org_ to try examples:\n\n.. _mybinder.org: https://mybinder.org/v2/gh/tlinnet/kmdvalg/master\n\n.. image:: https://mybinder.org/badge.svg\n   :target: https://mybinder.org/v2/gh/tlinnet/kmdvalg/master\n\n.. image:: https://raw.githubusercontent.com/tlinnet/kmdvalg/master/docs/images/image1.png\n\nHow to install?\n---------------\nIf using conda, these steps will install an environment\n\n.. code-block:: bash\n\n   # With pip from https://pypi.python.org/pypi/kmdvalg\n   pip install kmdvalg\n\nDeveloper install for local conda environment:\n\n.. code-block:: bash\n\n   # Create environment\n   conda env create -f environment.yml\n   \n   # Activate environment\n   conda env list\n   source activate kmdvalg\n   \n   # Enable ipywidgets\n   jupyter nbextension list\n   jupyter nbextension enable --py widgetsnbextension --sys-prefix\n\n   # Start jupyter\n   jupyter notebook\n\nOr manual install in root environment:\n\n.. code-block:: bash\n\n   # Manually install package\n   python setup.py install --force\n   \n   #  Manually uninstall\n   python setup.py install --record files.txt\n   PACK=`dirname $(head -n 1 files.txt)`\n   rm -rf $PACK\n   #cat files.txt | xargs rm -rf\n\nDeveloper\n---------\n\n* Guide for upload: http://peterdowns.com/posts/first-time-with-pypi.html\n* Updated info: https://packaging.python.org/guides/migrating-to-pypi-org/#uploading\n* PyPI test account: http://testpypi.python.org/pypi?%3Aaction=register_form \n* PyPI Live account: http://pypi.python.org/pypi?%3Aaction=register_form\n\n.. code-block:: bash\n\n   # Modify version in: kmdvalg/__init__.py\n   \n   # Create tag\n   VERS=`python -c \"from kmdvalg import __version__; print(__version__)\"`\n   # Adds a tag so that we can put this on PyPI\n   git tag $VERS -m \"\"\n   git push --tags origin master\n   \n   # Upload your package to PyPI Test\n   python setup.py sdist upload -r pypitest\n   open https://testpypi.python.org/pypi/kmdvalg\n   \n   # Upload to PyPI Live\n   # Once you've successfully uploaded to PyPI Test, perform the same steps but point to the live PyPI server instead.\n   python setup.py sdist upload -r pypi\n   open https://pypi.python.org/pypi/kmdvalg",
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        "license": "GNU General Public License v3 (GPLv3)",
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        "name": "kmdvalg",
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        "summary": "A module for displaying danish Voting poll in Bokeh maps.",
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