pandas 1.4.2

ParametersReturns
_akima_interpolate(xi, yi, x, der=0, axis=0)

See :None:None:`Akima1DInterpolator` for details.

Parameters

xi : array-like

A sorted list of x-coordinates, of length N.

yi : array-like

A 1-D array of real values. :None:None:`yi`'s length along the interpolation axis must be equal to the length of :None:None:`xi`. If N-D array, use axis parameter to select correct axis.

x : scalar or array-like

Of length M.

der : int, optional

How many derivatives to extract; None for all potentially nonzero derivatives (that is a number equal to the number of points), or a list of derivatives to extract. This number includes the function value as 0th derivative.

axis : int, optional

Axis in the yi array corresponding to the x-coordinate values.

Returns

y : scalar or array-like

The result, of length R or length M or M by R,

Convenience function for akima interpolation. xi and yi are arrays of values used to approximate some function f, with yi = f(xi) .

See Also

scipy.interpolate.Akima1DInterpolator

Examples

See :

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


File: /pandas/core/missing.py#583
type: <class 'function'>
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