def equities(country='<STR_LIT>'):
nasdaqblob, otherblob = _getrawdata()<EOL>eq_triples = []<EOL>eq_triples.extend(_get_nas_triples(nasdaqblob))<EOL>eq_triples.extend(_get_other_triples(otherblob))<EOL>eq_triples.sort()<EOL>index = [triple[<NUM_LIT:0>] for triple in eq_triples]<EOL>data = [triple[<NUM_LIT:1>:] for triple in eq_triples]<EOL>return pd.DataFrame(data, index, columns=['<STR_LIT>', '<STR_LIT>'], dtype=str)<EOL>
Return a DataFrame of current US equities.

.. versionadded:: 0.4.0

.. versionchanged:: 0.5.0
   Return a DataFrame

Parameters
----------
country : str, optional
    Country code for equities to return, defaults to 'US'.

Returns
-------
eqs : :class:`pandas.DataFrame`
    DataFrame whose index is a list of all current ticker symbols.
    Columns are 'Security Name' (e.g. 'Zynerba Pharmaceuticals, Inc. - Common Stock')
    and 'Exchange' ('NASDAQ', 'NYSE', 'NYSE MKT', etc.)

Examples
--------
>>> eqs = pn.data.equities('US')

Notes
-----
Currently only US markets are supported.