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            "Intended Audience :: Developers",
            "Intended Audience :: Science/Research",
            "License :: OSI Approved :: BSD License",
            "Natural Language :: English",
            "Operating System :: OS Independent",
            "Programming Language :: Python :: 2.7",
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        "description": "[![Travis](https://api.travis-ci.org/pyviz/geoviews.svg?branch=master)](https://travis-ci.org/pyviz/geoviews)\n[![Windows build status](https://ci.appveyor.com/api/projects/status/4yl8w4kie2m0xu1q/branch/master?svg=true)](https://ci.appveyor.com/project/pyviz/geoviews/branch/master)\n\n<h1>\nGeoViews <img src=\"/doc/_static/geoviews-logo.png\" width=\"50\" height=\"50\">\n</h1>\n\nGeoViews is a Python library that makes it easy to explore and\nvisualize any data that includes geographic locations.  It has\nparticularly powerful support for multidimensional meteorological\nand oceanographic datasets, such as those used in weather, climate,\nand remote sensing research, but is useful for almost anything\nthat you would want to plot on a map!  You can see lots of example \nnotebooks at [geoviews.org](https://geoviews.org), and a good \noverview is in our [blog post announcement](https://www.continuum.io/blog/developer-blog/introducing-geoviews).\n\nGeoViews is built on the [HoloViews](https://holoviews.org) library for\nbuilding flexible visualizations of multidimensional data.  GeoViews\nadds a family of geographic plot types based on the\n[Cartopy](http://scitools.org.uk/cartopy) library, plotted using\neither the [Matplotlib](http://matplotlib.org) or\n[Bokeh](https://bokeh.pydata.org) packages.\n\nEach of the new GeoElement plot types is a new HoloViews Element that\nhas an associated geographic projection based on ``cartopy.crs``. The\nGeoElements currently include ``Feature``, ``WMTS``, ``Tiles``,\n``Points``, ``Contours``, ``Image``, ``QuadMesh``, ``TriMesh``,\n``RGB``, ``HSV``, ``Labels``, ``Graph``, ``HexTiles``, ``VectorField``\nand ``Text`` objects, each of which can easily be overlaid in the same\nplots. E.g. an object with temperature data can be overlaid with\ncoastline data using an expression like ``gv.Image(temperature) *\ngv.Feature(cartopy.feature.COASTLINE)``. Each GeoElement can also be\nfreely combined in layouts with any other HoloViews Element , making\nit simple to make even complex multi-figure layouts of overlaid\nobjects.\n\n## Installation\n\nYou can install GeoViews and its dependencies using conda:\n\n```\nconda install -c pyviz geoviews\n```\n\nAlternatively you can also install the geoviews-core package, which\nonly installs the minimal dependencies required to run geoviews:\n\n```\nconda install -c pyviz geoviews-core\n```\n\nOnce installed you can copy the examples into the current directory\nusing the ``geoviews`` command and run them using the Jupyter\nnotebook:\n\n```\ngeoviews examples \ncd geoviews-examples\njupyter notebook\n```\n\n(Here `geoviews examples` is a shorthand for `geoviews copy-examples\n--path geoviews-examples && geoviews fetch-data --path\ngeoviews-examples`.)\n\nTo work with JupyterLab you will also need the PyViz JupyterLab\nextension:\n\n```\nconda install -c conda-forge jupyterlab\njupyter labextension install @pyviz/jupyterlab_pyviz\n```\n\nOnce you have installed JupyterLab and the extension launch it with:\n\n```\njupyter-lab\n```\n\nIf you want to try out the latest features between releases, you can\nget the latest dev release by specifying `-c pyviz/label/dev` in place\nof `-c pyviz`.\n\n### Additional dependencies\n\nIf you need to install libraries only available from conda-forge, such\nas Iris (to use data stored in Iris cubes) or xesmf, you should\ninstall from conda-forge:\n\n```\nconda create -n env-name -c pyviz -c conda-forge geoviews iris xesmf\nconda activate env-name\n```\n\n**Note -- Do not mix conda-forge and defaults.** I.e., do not install\npackages from conda-forge into a GeoViews environment created with\ndefaults. If you are using the base environment of mini/anaconda, or\nan environment created without specifying conda-forge before defaults,\nand you then install from conda-forge, you will very likely have\nincompatibilities in underlying, low-level dependencies. These binary\n(ABI) incompatibilities can lead to segfaults because of differences\nin how non-Python packages are built between conda-forge and defaults.\n\n-----\n\nGeoViews itself is also installable using `pip`, but to do that you\nwill first need to have installed the [dependencies of cartopy](http://scitools.org.uk/cartopy/docs/v0.15/installing.html#requirements),\nor else have set up your system to be able to build them.\n\n\n",
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