def test_flat(self):
domain = Orange.data.Domain([
Orange.data.ContinuousVariable(str(w))
for w in [6800., 6940., 7060., 7400., 7800., 8000.]
])
data = Table.from_numpy(domain, [[0.2, 0.2, 0.8, 0.8, 0.8, 0.8]])
f = XASnormalization(edge=7000.,
preedge_dict={
'from': 6800.,
'to': 6950.,
'deg': 1
},
postedge_dict={
'from': 7050.,
'to': 8000.,
'deg': 2
})
fdata = f(data)
numpy.testing.assert_almost_equal(fdata.X, [[0., 0., 1., 1., 1., 1.]])
numpy.testing.assert_almost_equal(fdata.metas, [[0.6]])
Normalize(method=Normalize.Vector),
Normalize(method=Normalize.Area,
int_method=Integrate.PeakMax,
lower=0,
upper=10000),
Normalize(method=Normalize.MinMax),
CurveShift(1),
Despike(threshold=5, cutoff=60, dis=5),
]
xas_norm_collagen = XASnormalization(edge=1630,
preedge_dict={
'from': 1000,
'to': 1300,
'deg': 1
},
postedge_dict={
'from': 1650,
'to': 1700,
'deg': 1
})
extract_exafs = ExtractEXAFS(edge=1630,
extra_from=1630,
extra_to=1800,
poly_deg=1,
kweight=0,
m=0)
class ExtractEXAFSUsage(PreprocessorList):
"""ExtractEXAFS needs previous XAS normalization"""