scipy.interpolate.LSQUnivariateSpline.
__call__#
- LSQUnivariateSpline.__call__(x, nu=0, ext=None)[source]#
Evaluate spline (or its nu-th derivative) at positions x.
- Parameters:
- xarray_like
A 1-D array of points at which to return the value of the smoothed spline or its derivatives. Note: x can be unordered but the evaluation is more efficient if x is (partially) ordered.
- nuint
The order of derivative of the spline to compute.
- extint
Controls the value returned for elements of x not in the interval defined by the knot sequence.
if ext=0 or ‘extrapolate’, return the extrapolated value.
if ext=1 or ‘zeros’, return 0
if ext=2 or ‘raise’, raise a ValueError
if ext=3 or ‘const’, return the boundary value.
The default value is 0, passed from the initialization of UnivariateSpline.