Document

bisplrep(x, y, z, w=None, xb=None, xe=None, yb=None, ye=None, kx=3, ky=3, task=0, s=None, eps=1e-16, tx=None, ty=None, full_output=0, nxest=None, nyest=None, quiet=1)

Notes

Parameters

x, y, z : ndarray
w : ndarray, optional
xb, xe : float, optional
yb, ye : float, optional
kx, ky : int, optional
task : int, optional
s : float, optional
eps : float, optional
tx, ty : ndarray, optional
full_output : int, optional
nxest, nyest : int, optional
quiet : int, optional

Returns

tck : array_like
fp : ndarray
ier : int
msg : str

Examples

See :

Back References

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

scipy.interpolate._fitpack2:LSQSphereBivariateSpline scipy.interpolate._interpolate:interp2d.__call__ scipy.interpolate._interpolate:interp2d.__init__ scipy.interpolate._fitpack2:RectBivariateSpline scipy.interpolate._fitpack_py:sproot scipy.interpolate._fitpack2:LSQBivariateSpline scipy.interpolate._fitpack2:RectSphereBivariateSpline scipy.interpolate._fitpack_py:splrep scipy.interpolate._fitpack2:BivariateSpline scipy.interpolate._fitpack_impl:splev scipy.interpolate._fitpack_impl:splprep scipy.interpolate._fitpack_impl:sproot scipy.interpolate._fitpack2:UnivariateSpline scipy.interpolate._fitpack2:SphereBivariateSpline scipy.interpolate._fitpack_py:splint scipy.interpolate._fitpack2:SmoothSphereBivariateSpline scipy.interpolate._fitpack2:_BivariateSplineBase scipy.interpolate._fitpack_impl:splint scipy.interpolate._fitpack_py:splev scipy.interpolate._interpolate:interp2d scipy.interpolate._fitpack_impl:splrep scipy.interpolate._fitpack2:SmoothBivariateSpline

Local connectivity graph

Hover to see nodes names; edges to Self not shown, Caped at 50 nodes.

Using a canvas is more power efficient and can get hundred of nodes ; but does not allow hyperlinks; , arrows or text (beyond on hover)

SVG is more flexible but power hungry; and does not scale well to 50 + nodes.

All aboves nodes referred to, (or are referred from) current nodes; Edges from Self to other have been omitted (or all nodes would be connected to the central node "self" which is not useful). Nodes are colored by the library they belong to, and scaled with the number of references pointing them