def check_linear_1d(self):
x = [1,2,3]
y = [0,2,4]
lut = UnivariateSpline(x,y,k=1)
assert_array_almost_equal(lut.get_knots(),[1,3])
assert_array_almost_equal(lut.get_coeffs(),[0,4])
assert_almost_equal(lut.get_residual(),0.0)
assert_array_almost_equal(lut([1,1.5,2]),[0,1,2])
def check_curfit_against_dierckx(self):
""" Test against results obtined from the pure fortran routines.
Here we check simple spline creation and evaluation.
"""
x,y = curfit_test['x'],curfit_test['y']
k,s = curfit_test_smth['k'],curfit_test_smth['s']
iopt = curfit_test_smth['iopt']
for i in range(len(k)):
if iopt[i] == 0:
uspl = UnivariateSpline(x,y,k=k[i],s=s[i])
elif iopt[i] == 1:
uspl.set_smoothing_factor(s[i])
assert_almost_equal(uspl.get_residual(),
curfit_test_smth['fp'][i], decimal=2)
n = uspl._data[7]
assert_equal(n,curfit_test_smth['n'][i])
assert_array_almost_equal(around(uspl.get_knots(),1),
curfit_test_smth['t'][i][k[i]:n-k[i]])
assert_array_almost_equal(around(uspl.get_coeffs(),4),
curfit_test_smth['c'][i], decimal=3)
assert_array_almost_equal(around(uspl(x),1),
curfit_test_smth['sp'][i])
