'input (self.df):
asof_date  sid  timestamp int_value value
0 2014-01-01   65 2014-01-01         0     0
1 2014-01-01   66 2014-01-01         1     1
2 2014-01-01   67 2014-01-01         2     2
3 2014-01-02   65 2014-01-02         1     1
4 2014-01-02   66 2014-01-02         2     2
5 2014-01-02   67 2014-01-02         3     3
6 2014-01-03   65 2014-01-03         2     2
7 2014-01-03   66 2014-01-03         3     3
8 2014-01-03   67 2014-01-03         4     4
output (expected)
int_value value
2014-01-01 Equity(65 [A])         0     0
Equity(66 [B])         1     1
Equity(67 [C])         2     2
2014-01-02 Equity(65 [A])         1     1
Equity(66 [B])         2     2
Equity(67 [C])         3     3
2014-01-03 Equity(65 [A])         2     2
Equity(66 [B])         3     3
Equity(67 [C])         4     4'

def test_id(self):

    expected = self.df.drop(['timestamp', 'asof_date', 'sid'], axis=1)
    expected.index = pd.MultiIndex.from_product((self.dates, self.asset_finder.retrieve_all(self.asset_finder.sids)))
    self._test_id(self.df, self.dshape, expected, self.asset_finder, ('int_value', 'value'))
