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        "author": "Michael Rahnis",
        "author_email": "mike@topomatrix.com",
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            "Development Status :: 3 - Alpha",
            "License :: OSI Approved :: BSD License",
            "Programming Language :: Python",
            "Programming Language :: Python :: 2.7",
            "Programming Language :: Python :: 3",
            "Topic :: Scientific/Engineering :: GIS"
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        "description": "========\nOrangery\n========\n\nOrangery is a Python library to support analysis of topographic cross-sections, particularly on stream channels. The intent is to enable the user to write simple scripts that operate on CSV data exported from a survey data collector.\n\n.. image:: https://travis-ci.org/mrahnis/orangery.svg?branch=master\n    :target: https://travis-ci.org/mrahnis/orangery\n\n.. image:: https://ci.appveyor.com/api/projects/status/lw4wysrcfu2x3653?svg=true\n\t:target: https://ci.appveyor.com/project/mrahnis/orangery\n\n.. image:: https://readthedocs.org/projects/orangery/badge/?version=latest\n\t:target: http://orangery.readthedocs.io/en/latest/?badge=latest\n\t:alt: Documentation Status\n\nOrangery was initially a single script that allowed me to segregate, by grain size, changed areas on repeat topographic cross-sections. It can produce output plots like the one below.\n\n.. image:: https://lh3.googleusercontent.com/-3BBypwcOuqQ/U2GP63BYFII/AAAAAAAABNs/ubaKDHXSqjQ/w800-h344-no/figure_1.png\n\t:width: 800\n\t:height: 344\n\nInstallation\n============\n\n.. image:: https://img.shields.io/pypi/v/orangery.svg\n\t:target: https://pypi.org/project/orangery/\n\n.. image:: https://anaconda.org/mrahnis/orangery/badges/version.svg\n\t:target: https://anaconda.org/mrahnis/orangery\n\nTo install from the Python Package Index:\n\n\t$pip install orangery\n\nTo install from the source distribution execute the setup script in the orangery directory:\n\n\t$python setup.py install\n\nTo install from Anaconda Cloud:\n\nIf you are starting from scratch the first thing to do is install the Anaconda Python distribution, add the necessary channels to obtain the dependencies and install orangery.\n\n.. code-block:: console\n\n\t$conda config --append channels conda-forge\n\t$conda config --append channels mrahnis\n\t$conda install orangery\n\nTo install from the source distribution:\n\nExecute the setup script in the orangery directory:\n\n.. code-block:: console\n\n\t$python setup.py install\n\nExamples\n========\n\nThe example scripts may be run like so:\n\n\t$python plots.py\n\nLicense\n=======\n\nBSD\n\nDocumentation\n=============\n\nLatest `html`_\n\n.. _`Python 2.7 or 3.x`: http://www.python.org\n.. _NumPy: http://www.numpy.org\n.. _pandas: http://pandas.pydata.org\n.. _matplotlib: http://matplotlib.org\n.. _Shapely: https://github.com/Toblerity/Shapely\n\n.. _Continuum Analytics: http://continuum.io/\n.. _Enthought: http://www.enthought.com\n.. _Shapely binary: https://pypi.python.org/pypi/Shapely\n.. _release page: https://github.com/mrahnis/orangery/releases\n\n.. _html: http://orangery.readthedocs.org/en/latest/",
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