splev(x, tck, der=0, ext=0)

Given the knots and coefficients of a B-spline representation, evaluate the value of the smoothing polynomial and its derivatives. This is a wrapper around the FORTRAN routines splev and splder of FITPACK.

Parameters

x : array_like

An array of points at which to return the value of the smoothed spline or its derivatives. If :None:None:`tck` was returned from splprep , then the parameter values, u should be given.

tck : tuple

A sequence of length 3 returned by splrep or splprep containing the knots, coefficients, and degree of the spline.

der : int, optional

The order of derivative of the spline to compute (must be less than or equal to k).

ext : int, optional

Controls the value returned for elements of x not in the interval defined by the knot sequence.

• if ext=0, return the extrapolated value.

• if ext=1, return 0

• if ext=2, raise a ValueError

• if ext=3, return the boundary value.

The default value is 0.

Returns

y : ndarray or list of ndarrays

An array of values representing the spline function evaluated at the points in x . If :None:None:`tck` was returned from splprep , then this is a list of arrays representing the curve in N-D space.

Evaluate a B-spline or its derivatives.

See Also

bisplev

bisplrep

spalde

splint

splprep

splrep

sproot

Examples

See :

Back References

The following pages refer to to this document either explicitly or contain code examples using this.

scipy.interpolate._fitpack_impl.splint scipy.interpolate._fitpack_impl.splrep scipy.interpolate._fitpack_impl.splantider scipy.interpolate._fitpack_impl.sproot scipy.interpolate._fitpack_impl.splprep scipy.interpolate._fitpack_impl.splder scipy.interpolate._fitpack_impl.bisplrep

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