The order for indexing the panel returned by the 'get_pricing' method is first, the columns, then second, is the date, and the third parameter is the security.
So the following will return all columns, all dates, for security aapl
# First get an easy reference to the APPL security object
aapl = symbols('AAPL')
# Then use that to get all columns and all dates
data.loc[:, :, aapl]
One can also get just a single price and date something like this
data.loc['price', '2018-06-15', aapl]
Note that the major axis is the date and the minor axis are the securities. So, other helpful methods are:
data.major_xs('2018-6-15')
data.minor_xs(aapl)
These will return slices for just that date and that security respectively.
Note that the minor axis (the securities) are security objects and not simply strings.
See attached notebook. Good luck.