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        "author": "Daniel E. Cook",
        "author_email": "danielecook@gmail.com",
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        "description": "[![Build Status](https://travis-ci.org/danielecook/iex-api-python.svg?branch=master)](https://travis-ci.org/danielecook/iex-api-python) [![Coverage Status](https://coveralls.io/repos/github/danielecook/iex-api-python/badge.svg)](https://coveralls.io/github/danielecook/iex-api-python) ![Python 3.6](https://img.shields.io/badge/Python-3.6-blue.svg) [![Documentation](https://img.shields.io/badge/Documentation-!-green.svg)](http://www.danielecook.com/iex-api-python/)\n\n# IEX-API-Python\n\n![IEX-API-Python Logo](docs/iex_logo.png)\n\n![under construction](https://countspooky.neocities.org/construction.gif)\n\nThis module is currently being actively developed. Feedback is welcomed.\n\n### Summary\n\nThe `iex-api-python` module is a wrapper for the [IEX API](https://iextrading.com/developer/docs/#getting-started), and is designed to closely map to the organization of the original API while adding functionality. A few examples of the additional functionality are:\n\n* Many queries are retadurned as [Pandas Dataframes](https://pandas.pydata.org/).\n* Built-in support for websockets connections.\n* Option to format timestamps as datetime objects or ISO format.\n\n### Installation\n\n_Note that you must be using Python >=3.6_\n\n``` shell\npip install iex-api-python\n```\n\n### Getting Started\n\nFrom the [API documenation](https://iextrading.com/developer/docs/#getting-started):\n\n> The IEX API is a set of services designed for developers and engineers. It can be used to build high-quality apps and services. We\u2019re always working to improve the IEX API. Please check back for enhancements and improvements.\n\n* [Read the terms](https://iextrading.com/api-terms/).\n* [Read the manual](https://iextrading.com/developer/docs/#market-data) and start building.\n* [Attribute properly](https://iextrading.com/developer/docs/#attribution).\n\n**The API terms apply to the use of this module, as does the requirement to properly attribute the use of IEX data.**\n\n### Organization\n\nThe `IEX-API-Python` module is designed to map closely to the API from IEX. For many of the API calls, the resulting dataset is better represented in a tabular format. For these calls, data are returned as a [pandas.DataFrame](https://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.html).\n\n### Examples\n\nTo illustrate a few things you can do with `iex-api-python`, take a look at the examples below.\n\n__Fetch all stock symbols__\n\n``` python\nfrom iex import reference\nreference.symbols() # Returns a Pandas Dataframe of all stock symbols, names, and more.\n```\n```\n     symbol        date  iexId  isEnabled  \\\n0         A  2018-05-16      2       True\n1        AA  2018-05-16  12042       True\n2      AABA  2018-05-16   7653       True\n3       AAC  2018-05-16   9169       True\n```\n\n__Get a stock price__\n\n``` python\nfrom iex import Stock\nStock(\"F\").price()\n```\n```\n11.4\n```\n\n__Get a stocks price for the last year__\n``` python\nfrom iex import Stock\nStock(\"F\").chart_table(range=\"1y\")\n```\n```\n       change  changeOverTime  changePercent    close        date     high  \\\n0    0.000000        0.000000          0.000  10.2760  2017-05-16  10.3982\n1   -0.169075       -0.016446         -1.645  10.1070  2017-05-17  10.2854\n2    0.028180       -0.013712          0.279  10.1351  2017-05-18  10.1633\n3    0.075144       -0.006394          0.741  10.2103  2017-05-19  10.2760\n4    0.216042        0.014626          2.116  10.4263  2017-05-22  10.4545\n5   -0.046966        0.010062         -0.450  10.3794  2017-05-23  10.4874\n6   -0.084539        0.001830         -0.814  10.2948  2017-05-24  10.3888\n...\n```",
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