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        "author": "Tsung-Han Yang",
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        "description": "finpy\n=====\nFinancial Python\n=====\nTo install\n=====\nRequirement: Python 3\n\npip install finpy\n\nYou can also download the window install package if you're using windows.\nIntroduction\n=====\n\nI plan to expand the capabilities. Please let me know if you have \nany suggestions.\nYou can reach me at blacksburg98 (at) yahoo dot com\n\nI've tried to use docstring as much as possible, so you can try these commands\n in python shell to get more information.\n\n::\n    from finpy.utils import get_tickdata\n    from finpy.equity import Equity\n    help(Equity)\n    from finpy.portfolio import Portfolio\n    help(Portfolio)\n\nPlease go to https://github.com/blacksburg98/finpy to file a issue if you have\n any problems.\n\nRecommend:\n    This will be the area where the downloaded stock data are stored.\n\n    setenv FINPYDATA ~/stock_data\n\nTutorial 1\n=====\n    \"\"\"\n    Tutorial 1 \n    Load stock data and print \n    \"\"\"\n    import matplotlib\n    matplotlib.use('Agg') # fix for matplotlib under multiprocessing\n    import matplotlib.pyplot as plt\n    import matplotlib.dates as mdates \n    import datetime as dt\n    from finpy.utils import get_tickdata\n\n    import finpy.fpdateutil as du\n    if __name__ == '__main__':\n        dt_timeofday = dt.timedelta(hours=16)\n        dt_start = dt.datetime(2010, 1, 1)\n        dt_end = dt.datetime(2010, 12, 31)\n        ls_symbols = ['AAPL','GOOG', 'IBM', 'MSFT']\n        ldt_timestamps = du.getNYSEdays(dt_start, dt_end, dt_timeofday)\n        all_stocks = get_tickdata(ls_symbols=ls_symbols, ldt_timestamps=ldt_timestamps)\n        fig = plt.figure()\n        ax = fig.add_subplot(111)\n        for tick in ls_symbols:\n            ax.plot(ldt_timestamps, all_stocks[tick].normalized())\n        legend = ls_symbols\n        ax.legend(legend, loc=2)\n        fig.autofmt_xdate()\n        svg_file = 'tutorial1.pdf'\n        fig.savefig(svg_file)\n\n",
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