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        "author": "Jo\u00e3o Faria",
        "author_email": "joao.faria@astro.up.pt",
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            "License :: OSI Approved :: MIT License",
            "Operating System :: OS Independent",
            "Programming Language :: Python :: 3"
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        "description": "pyExoplaneteu\n==============\n \nA pure-Python package to download data from the `Extrasolar Planets Encyclopaedia`_\n\nThis small package downloads all the data from the *exoplanet.eu* online catalogue of exoplanets \nand builds a (custom) dictionary with each column. \nIt is a pure-Python package with no extra dependencies (see below).\n\n\n|License MIT| |Travis build| |PyPI version|\n\nHow to use\n----------\n\nInstall it from pip (**pyExoplaneteu** has no extra depencies)\n\n::\n\n    pip install pyExoplaneteu\n\nand it's ready to use from Python\n\n.. code:: python\n\n    import pyexoplaneteu\n\n\n**pyExoplaneteu** has one simple function, ``get_data()``,\nwhich downloads the data from the online archive and returns it in a dictionary.\n\n.. code:: python\n\n    >>> data = pyexoplaneteu.get_data()\n\n.. code::\n\n    Downloading exoplanet.eu data\n    Saved exoplanet.eu data to $HOME/.pyexoplaneteu/exoplanetEU.csv\n    Data in `exoplanetEU.csv` is recent.\n    There are 98 columns with 3793 entries each in `exoplanetEU.csv`\n\nwhere ``$HOME`` will  be your home directory.\nThe second time you call ``get_data()`` it will check if the data was downloaded recently, \nand only conditionally download it again.\n\n.. code:: python\n\n    >>> data = pyexoplaneteu.get_data()\n\n.. code::\n\n    Data in `exoplanetEU.csv` is recent.\n    There are 98 columns with 3793 entries each in `exoplanetEU.csv`\n\nNow, `data` is (basically) a Python dictionary with the each column as keys.\nBut it has a couple extra methods and properties. For example\n\n.. code:: python\n\n    >>> data.size\n    3793\n    \nreturns the number of values in each column. The ``columns()`` method\n\n.. code:: python\n\n    >>> data.columns()\n    ['name', 'planet_status', 'mass', 'mass_error_min', 'mass_error_max',\n     'mass_sini', 'mass_sini_error_min', 'mass_sini_error_max', 'radius',\n      'radius_error_min', 'radius_error_max', 'orbital_period',\n      ...\n \nwill print the available columns.\n\nThe columns can be accessed as in a normal dictionary, with \n\n.. code:: python\n\n    data['name']  # the name of the planet\n    data['mass']  # the mass of the planet\n    data['star_radius']  # the radius of the host star\n\n    \nAlso, to drop the NaN values in a column (for some columns there will be quite a few)\nwe can use\n\n.. code:: python\n\n    data['mass_nonan']\n    \n    np.isnan(data['mass']).any()       # True\n    np.isnan(data['mass_nonan']).any() # False\n    \n\nwhich allows us to more easily do histograms of the values.\n\nFinnally, the ``.to_numpy(inplace=True)`` method converts all the columns to numpy arrays, \neither in place or not (this is the only function in **pyExoplaneteu** that requires numpy).\n\n\nLicense\n-------\n\nCopyright 2018 Jo\u00e3o Faria.\n\n**pyExoplaneteu** is free software made available under the MIT License. For\ndetails see the LICENSE_ file.\n\n.. _`Extrasolar Planets Encyclopaedia`: http://exoplanet.eu\n.. _License: https://github.com/j-faria/pyExoplanet.eu/blob/master/LICENSE\n.. |License MIT| image:: http://img.shields.io/badge/license-MIT-blue.svg?style=flat\n   :target: https://github.com/j-faria/pyExoplanet.eu/blob/master/LICENSE\n.. |Travis build| image:: https://travis-ci.org/j-faria/pyExoplanet.eu.svg?branch=master\n    :target: https://travis-ci.org/j-faria/pyExoplanet.eu\n.. |PyPI version| image:: https://badge.fury.io/py/pyExoplaneteu.svg\n    :target: https://badge.fury.io/py/pyExoplaneteu",
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