This describes a spline s(x, y)
of degrees kx
and ky
on the rectangle [xb, xe] * [yb, ye]
calculated from a given set of data points (x, y, z)
.
This class is meant to be subclassed, not instantiated directly. To construct these splines, call either SmoothBivariateSpline
or LSQBivariateSpline
or RectBivariateSpline
.
Base class for bivariate splines.
LSQBivariateSpline
a bivariate spline using weighted least-squares fitting
LSQSphereBivariateSpline
a bivariate spline in spherical coordinates using weighted least-squares fitting
RectBivariateSpline
a bivariate spline over a rectangular mesh.
RectSphereBivariateSpline
a bivariate spline over a rectangular mesh on a sphere
SmoothBivariateSpline
a smoothing bivariate spline through the given points
SmoothSphereBivariateSpline
a smoothing bivariate spline in spherical coordinates
UnivariateSpline
a smooth univariate spline to fit a given set of data points.
bisplev
a function to evaluate a bivariate B-spline and its derivatives
bisplrep
a function to find a bivariate B-spline representation of a surface
The following pages refer to to this document either explicitly or contain code examples using this.
scipy.interpolate._fitpack2.RectSphereBivariateSpline
scipy.interpolate._fitpack2._BivariateSplineBase
scipy.interpolate._fitpack2.SmoothBivariateSpline
scipy.interpolate._fitpack_impl.splint
scipy.interpolate._fitpack_impl.splrep
scipy.interpolate._fitpack_py.splrep
scipy.interpolate._fitpack_impl.sproot
scipy.interpolate._interpolate.interp2d
scipy.interpolate._fitpack2.LSQSphereBivariateSpline
scipy.interpolate._fitpack2.RectBivariateSpline
scipy.interpolate._fitpack_impl.splprep
scipy.interpolate._fitpack2.LSQBivariateSpline
scipy.interpolate._fitpack2.SmoothSphereBivariateSpline
scipy.interpolate._fitpack2.UnivariateSpline
scipy.interpolate._fitpack_impl.bisplrep
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