This Function downloads Historic stock prices for a Symbol, and Saves them to CSV file, using Pandas and Yahoo finance API

Historic_Stock_Download

"""
This function combines data from Pandas data on stocks, and the Yahoo Finance API
"""
def stockhistory(stock2check):
    import pandas_datareader.data as web
    import datetime
    from yahoo_finance import Share

    stock = Share(stock2check)
    ylp = stock.get_year_low() # Returns the Year Low price for the stock
    end = datetime.datetime.today()  # Use Todays date as the End Date to Download.
    start = (end - datetime.timedelta(days=365))  # Use todays date minus 365 Days as the Start date to download.
                            #year #month #day
    #end = datetime.datetime(2017,10,10) #Uncomment this if you would prefer to use a Custom End date, other than today.
    #start = datetime.datetime(2017,10,10) #Uncomment this if you would prefer to use a Custom Start date, other than today.

    f = web.DataReader(stock2check, 'yahoo', start, end) #This specifies the Data source as Yahoo for Pandas to use.
    f['YearLow'] = f['Close']-float(ylp) # Calculates the current price against the Year Low
    f.to_csv('HMNY.csv') # Output to a CSV File, if already exists it will be overwritten.
    print(f)

stockhistory(input('Stock to Check :'))