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        "author": "Miguel Exp\u00f3sito Mart\u00edn",
        "author_email": "miguel.exposito@gmail.com",
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            "Development Status :: 4 - Beta",
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            "License :: OSI Approved :: Apache Software License",
            "Operating System :: MacOS :: MacOS X",
            "Operating System :: Microsoft :: Windows",
            "Operating System :: POSIX",
            "Programming Language :: Python",
            "Topic :: Scientific/Engineering :: Information Analysis",
            "Topic :: Software Development :: Libraries"
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        "description": "=======\npyicane\n=======\n**pyicane** is a Python wrapper for the Statistical Office of\nCantabria's (ICANE) metadata restful API. This module parses ICANE's json data\nand metadata into Python objects and common data structures such as Pandas\ndataframes [1]_. All ICANE's API classes and methods are covered; also,\ntime-series data can be downloaded into a Python Pandas dataframe structure.\n\npyicane is written and maintained by `Miguel Exp\u00f3sito Mart\u00edn \\\n<https://twitter.com/predicador37>`_ and is distributed under the Apache 2.0 \\\nLicense (see LICENSE file).\n\n.. [1] http://pandas.pydata.org for Python Data Analysis Library information\n\nInstallation\n============\n\npyicane requires pandas and requests packages. For installation::\n\n    pip install pyicane\n\nUsage\n=====\n\nGet a list of categories\n------------------------\nTypical usage often looks like this::\n\n    from pyicane import pyicane\n\n    categories = pyicane.Category.find_all()\n    print categories\n\nGet Time Series Data in a Dataframe\n-----------------------------------\nConversion to dataframe is a useful feature::\n\n    from pyicane import pyicane\n\n    time_series = pyicane.TimeSeries.get('census-series-1900-2001')\n    print time_series.data_as_dataframe()\n\nGet Time Series Metadata in a Dataframe\n---------------------------------------\nLet's check the most relevant metadata::\n\n    from pyicane import pyicane\n\n    time_series = pyicane.TimeSeries.get('census-series-1900-2001')\n    print time_series.metadata_as_dataframe()\n\nGet last updated data\n---------------------\nWhich was the last ICANE's API data update::\n\n    from pyicane import pyicane\n\n    print pyicane.Data.get_last_updated()",
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        "license": "Apache License 2.0",
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