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    "info": {
        "author": "Geert Barentsen",
        "author_email": "hello@geert.io",
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            "Development Status :: 5 - Production/Stable",
            "Intended Audience :: Developers",
            "License :: OSI Approved :: BSD License",
            "Operating System :: OS Independent",
            "Programming Language :: Python",
            "Topic :: Documentation",
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        "description": "PlanetPixel\n===========\n\n**A simple API for retrieving time series color data using the Planet API.**\n\n*(Because API's don't have to be complicated!)*\n\nExample\n-------\n*PlanetPixel* makes it fun and easy to plot the color of a single position on Earth as a function of time.  For example, you can use it to study when Matthes lake in Yosemite National Park froze in the winter of 2017:\n\n.. image:: https://github.com/barentsen/planetpixel/blob/master/demo/lake1.png\n   :width: 30%\n.. image:: https://github.com/barentsen/planetpixel/blob/master/demo/lake2.png\n   :width: 30%\n\nWe can study this in a quantitative way as follows:\n\n.. image:: https://github.com/barentsen/planetpixel/blob/master/demo/planetpixel-demo.png\n\n*PlanetPixel* was created at the first public Planet Labs Hack Day on October 14th, 2019, in San Francisco, to demonstrate that API's can be simple and fun!\n\n\nInstallation\n------------\n\n.. code-block:: bash\n\n  pip install planetpixel\n\nYou also need to set your Planet Labs API key as the ``PL_API_KEY`` environment variable for this package to work.\n\n\nUsage\n-----\n\n.. code-block:: python\n\n  from planetpixel import PlanetPixel\n  PlanetPixel(lon, lat).plot()\n\n\nCaveat\n------\n\nRight now, the example above takes 15+ minutes to run. \ud83d\ude2c\n",
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        "summary": "Solving the planet's problems, one pixel at a time.",
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