modified:   pandas/io/ga.py


            ENH
	    I've made a number of alterations to this module to improve the
	    usability of it.

	    1.  A feature has been added to the 'filters' keyword, in that
	        compound filters can now be created with AND and OR combinations
	        as in the API, while still allowing the user to create
	        the filters via lists of strings without the 'ga:' prefix. In
	        particulare, compound filters can be formed as:

	        filters = ['filter_00', 'and', 'filter_01', 'or', 'filter_02']

	        where no defuault behaviour has been created, thus ensuring that
	        the compound item is formed the way the user intends it to be.
	        The 'and' and 'or' separators are case-insensitive.

	    2.  The 'sort' keyword is now passed to the query, and works as
	        it should with the API. That is, the current 'sort' keyword only
	        acts on the retrieved data when the parser is constructing the
	        local DataFrame object. This behaviour is now changed, in that
	        the 'sort' keyword is included in the query, as well as acting
	        as previous on the parser. Reverse-ordering as in the API is
	        maintained by simply including negaitve sign in front of the
	        metric / dimension that is being sorted on.

	        This is a sublte but important difference, in that the user can
	        now include something like:

	        sort = '-pageviews'

	        to obtain the top N-many results in a query, which is currently
	        not possible without obtaining all results and sorting them
	        locally.

	        Defualt behaviour has been altered, in that the defualt sort
	        is now None (sent to query) while the local dataframe is still
	        sorted on it's index.

	    3.  I didn't like the combination of positional and named keyword
	        arguments in the methods, so I have altered the bahaviour of
	        the module to use only named keyword aguments.  Thus, the user
	        is now able to form a query as a single dictionary item and pass
	        it to, say, the read_ga() method.