cs660-listing#3.py

tickers = ['AAPL', 'AMZN', 'GOOGL', 'IBM']
data_source = 'yahoo'

date_2016 = (datetime.datetime(2016, 1, 1), datetime.datetime(2016, 12, 31))
all_weekdays_2016 = pd.date_range(start = date_2016[0], end = date_2016[1], freq='B') # here we get all business days from 1.JAN.2016 to 31.DEC.2016

data_2016 = data.DataReader(tickers, data_source, date_2016[0], date_2016[1])
close_prices_2016 = data_2016.ix['Adj Close'].reindex(all_weekdays_2016).dropna() # here we take Adjusted Close Price, take business days and drop NA values

close_prices_2016.head()