def _err(self):
xy_p, s = self._xy_p, self._s
x = np.ones(len(s))
y = np.ones(len(s))
err = np.ones(len(s))
for i in xrange(len(s)):
x[i], y[i], nul1 = Bspline.__call__(self, s[i])
err[i] = abs(xy_p[0,i]- x[i]) + abs(xy_p[1,i]- y[i]) #it may be vectorized
# err = abs(xy_p[0,:])
return err
def _err(self):
xy_p, s = self._xy_p, self._s
x = np.ones(len(s))
y = np.ones(len(s))
err = np.ones(len(s))
for i in xrange(len(s)):
x[i], y[i], nul1 = Bspline.__call__(self, s[i])
err[i] = abs(xy_p[0, i] - x[i]) + abs(
xy_p[1, i] - y[i]) #it may be vectorized
# err = abs(xy_p[0,:])
return err
