# make a list of the securities one wishes to get pricing for
my_securities = symbols(['AAPL'])
# set the start and stop date-time.
# note that times/dates are specified in UTC
start_date = '2017-12-10'
end_date = '2017-12-15'
# run the get_pricing method to pull in actual data
# the result is a Pandas dataframe
my_prices = get_pricing(symbols=my_securities,
start_date=start_date,
end_date=end_date,
frequency='minute',
fields=['close_price', 'volume'])
# display the resulting dataframe
my_prices.xsclose_price
# can easily plot this data too
my_prices.close_price.plot()