def test_Kernel_Smoother_tabular(self):
dfa, dfb = self.dfa, self.dfb
kr = sm.Kernel_Smoother(dfa['e'], dfa['b'], self.kw)
np.testing.assert_allclose(kr.r.flatten(), kernel_exp)
kr = sm.Kernel_Smoother.by_col(dfa, 'e', 'b', w=self.kw)
colname = 'e_b_kernel_smoother'
np.testing.assert_allclose(kr[colname].values, kernel_exp)
kr = sm.Kernel_Smoother.by_col(dfb, ['e', 's'], 'b', w=self.kw)
outcols = ['{}-b_kernel_smoother'.format(l) for l in ['e', 's']]
exp_eb = np.array([
0.08276363, 0.08096262, 0.03636364, 0.0704302, 0.07996067,
0.1287226, 0.09831286, 0.0952105, 0.02857143, 0.06671039,
0.07129231, 0.08078792
])
exp_sb = np.array([
1.00575463, 0.99597005, 0.96363636, 0.99440132, 0.98468399,
1.07912333, 1.03376267, 1.02759815, 0.95428572, 0.99716186,
0.98277235, 1.03906155
])
for name, answer in zip(outcols, [exp_eb, exp_sb]):
np.testing.assert_allclose(kr[name].values,
answer,
rtol=RTOL,
atol=ATOL)
def test_Kernel_Smoother(self):
kr = sm.Kernel_Smoother(self.e, self.b, self.kw)
exp = [
0.10543301, 0.0858573, 0.08256196, 0.09884584, 0.04756872,
0.04845298
]
self.assertEquals(list(kr.r.round(8)), exp)
def test_Kernel_Smoother(self):
kr = sm.Kernel_Smoother(self.e, self.b, self.kw)
np.testing.assert_allclose(kr.r.flatten(), self.kernel_exp)
