def test_row_uncertainty(self):
"""row_uncertainty: should handle pos/neg/zero/empty arrays as expected
"""
#normal valid array
b = transpose(array([[.25,.2,.45,.25,1],[.25,.2,.45,0,0],\
[.25,.3,.05,.75,0],[.25,.3,.05,0,0]]))
self.assertFloatEqual(row_uncertainty(b),[2,1.97,1.47,0.81,0],1e-3)
#one-dimensional array
self.assertRaises(ValueError, row_uncertainty,\
array([.25,.25,.25,.25]))
#zeros
self.assertEqual(row_uncertainty(array([[0,0]])),array([0]))
#empty 2D array
self.assertEqual(row_uncertainty(array([[]])),array([0]))
self.assertEqual(row_uncertainty(array([[],[]])),array([0,0]))
#negative number -- skip
self.assertEqual(row_uncertainty(array([[-2]])), array([0]))
def rowUncertainty(self):
"""Returns the uncertainty (Shannon's entropy) for each row in profile
Entropy is returned in BITS (not in NATS).
"""
if not self.Data.any():
return array([])
try:
return row_uncertainty(self.Data)
except ValueError:
raise ProfileError, "Profile has to be two dimensional to calculate rowUncertainty"
def rowUncertainty(self):
"""Returns the uncertainty (Shannon's entropy) for each row in profile
Entropy is returned in BITS (not in NATS).
"""
if not self.Data.any():
return array([])
try:
return row_uncertainty(self.Data)
except ValueError:
raise ProfileError("Profile has to be two dimensional to calculate rowUncertainty")