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        "author": "Jay Kubo",
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            "Development Status :: 3 - Alpha",
            "License :: OSI Approved :: BSD License",
            "Programming Language :: Python"
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        "description": "# pyelection\n\nPresidential election data collector in Python 3.6\n\n## Installation\n\n    pip install pyelection\n\n\n## Example: 2016 US Presidential\n\n    from pyelection import PyElection\n    pye = PyElection(year=2016)\n\n\n#### By state\n\n    import json\n    state = pye.get_state_summary()\n    print(json.dumps(state, indent=4, sort_keys=True))\n\n\n#### By candidate\n\n    # optionally, install pandas for pretty output\n    import pandas as pd\n    candidates = pye.get_candidate_summary()\n    pd.DataFrame(candidates)\n\n\n## Example: Bulk extraction for multiple years\n\n    import time\n    data = {}\n    for y in range(1956, 2016, 4):\n        data[y] = {}\n        data[y]['pye'] = PyElection(year=y)\n        data[y]['state'] = data[y]['pye'].get_state_summary()\n        data[y]['candidate'] = data[y]['pye'].get_candidate_summary()\n        time.sleep(0.1)\n\n\n#### Note: Current status on the working years:\n\nyear|state|candidate\n---|---|---\n2016|Y|Y\n2012|Y|Y\n2008|Y|Y\n2004|Y|Y\n2000|Y|Y\n1996|Y|Y\n1992|Y|Y\n1988|Y|Y\n1984|Y|Y\n1980|Y|Y\n1976|Y|Y\n1972|Y|Y\n1968|Y|Y\n1964|Y|Y\n1960|Y|Y\n1956|Y|Y\n1952|Y|Y\n1948|Y|Y\n1944|Y|Y\n1940|N|Y\n1936|N|N\n1932|Y|Y\n1928|Y|Y\n1924|N|N\n1920|N|N\n1916|N|N\n1912|N|N\n1908|N|N\n1904|N|N\n1900|N|N\n1896|N|N\n1892|N|N\n1888|N|N\n1884|N|N\n1880|N|N\n1876|N|N\n1872|N|N\n1868|N|N\n1864|N|N\n1860|N|N\n1856|N|N\n1852|N|N\n1848|N|N\n1844|N|N\n1840|N|N\n1836|N|N\n1832|N|N\n1828|N|N\n1824|N|N\n1820|N|N\n1816|N|N\n1812|N|N\n1808|N|N\n1804|N|N\n1800|N|N\n1796|N|N\n1792|N|N\n1789|N|N",
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