def test_Excess_Risk_tabular(self):
out_er = sm.Excess_Risk(self.df[self.ename], self.df[self.bname]).r
np.testing.assert_allclose(out_er[:5].flatten(),
self.er,
rtol=RTOL,
atol=ATOL)
self.assertIsInstance(out_er, np.ndarray)
out_er = sm.Excess_Risk.by_col(self.df, self.ename, self.bname)
outcol = '{}-{}_excess_risk'.format(self.ename, self.bname)
outcol = out_er[outcol]
np.testing.assert_allclose(outcol[:5], self.er, rtol=RTOL, atol=ATOL)
self.assertIsInstance(outcol.values, np.ndarray)
def test_Excess_Risk(self):
out_er = sm.Excess_Risk(self.e, self.b).r
out_er = [round(i, 5) for i in out_er[:5]]
self.assertEquals(out_er, self.er)
def test_Excess_Risk(self):
out_er = sm.Excess_Risk(self.e, self.b).r
np.testing.assert_allclose(out_er[:5].flatten(),
self.er,
rtol=RTOL,
atol=ATOL)
