Yahoo! Finance Fix for Pandas Datareader ========================================
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    \

    `Yahoo! finance <https://ichart.finance.yahoo.com>`_ has decommissioned
    their historical data API, causing many programs that relied on it to stop working.

    **fix-yahoo-finance** offers a **temporary fix** to the problem
    by scraping the data from Yahoo! finance using and return a Pandas
    DataFrame/Panel in the same format as **pandas_datareader**'s ``get_data_yahoo()``.

    By basically "hijacking" ``pandas_datareader.data.get_data_yahoo()`` method,
    **fix-yahoo-finance**'s implantation is easy and only requires to import
    ``fix_yahoo_finance`` into your code.


    `Changelog » <./CHANGELOG.rst>`__

    -----

    Quick Start
    ===========

    .. code:: python

        from pandas_datareader import data as pdr

        import fix_yahoo_finance as yf
        yf.pdr_override() # <== that's all it takes :-)

        # download dataframe
        data = pdr.get_data_yahoo("SPY", start="2017-01-01", end="2017-04-30")

        # download Panel
        data = pdr.get_data_yahoo(["SPY", "IWM"], start="2017-01-01", end="2017-04-30")


    I've also added some options to make life easier :)

    Below is the full list of acceptable parameters:

    .. code:: python

        data = pdr.get_data_yahoo(
                    # tickers list (single tickers accepts a string as well)
                    tickers = ["SPY", "IWM", "..."],

                    # start date (YYYY-MM-DD / datetime.datetime object)
                    # (optional, defaults is 1950-01-01)
                    start = "2017-01-01",

                    # end date (YYYY-MM-DD / datetime.datetime object)
                    # (optional, defaults is Today)
                    end = "2017-04-30",

                    # return a multi-index dataframe
                    # (optional, default is Panel, which is deprecated)
                    as_panel = False,

                    # group by ticker (to access via data['SPY'])
                    # (optional, default is 'column')
                    group_by = 'ticker',

                    # adjust all OHLC automatically
                    # (optional, default is False)
                    auto_adjust = True,

                    # download dividend + stock splits data
                    # (optional, default is None)
                    # options are:
                    #   - True (returns history + actions)
                    #   - 'only' (actions only)
                    actions = True,

                    # How may threads to use?
                    threads = 10
                )


    It can also be used as a stand-alone library (without ``pandas_datareader``) if you want:

    .. code:: python

        import fix_yahoo_finance as yf
        data = yf.download("SPY", start="2017-01-01", end="2017-04-30")


    Installation
    ------------

    Install ``fix_yahoo_finance`` using ``pip``:

    .. code:: bash

        $ pip install fix_yahoo_finance --upgrade --no-cache-dir


    Requirements
    ------------

    * `Python <https://www.python.org>`_ >=3.4
    * `Pandas <https://github.com/pydata/pandas>`_ (tested to work with >=0.18.1)
    * `Numpy <http://www.numpy.org>`_ >= 1.11.1
    * `requests <http://docs.python-requests.org/en/master/>`_ >= 2.14.2
    * `multitasking <https://github.com/ranaroussi/multitasking>`_ >= 0.0.3


    Optional (if you want to use ``pandas_datareader``)
    ---------------------------------------------------

    * `pandas_datareader <https://github.com/pydata/pandas-datareader>`_ >= 0.4.0

    Legal Stuff
    ------------

    **fix-yahoo-finance** is distributed under the **GNU Lesser General Public License v3.0**. See the `LICENSE.txt <./LICENSE.txt>`_ file in the release for details.


    P.S.
    ------------

    Please drop me an note with any feedback you have.

    **Ran Aroussi**