scipy.interpolate.pchip_interpolate¶

scipy.interpolate.pchip_interpolate(xi, yi, x, der=0, axis=0)[source]¶

Convenience function for pchip interpolation. xi and yi are arrays of values used to approximate some function f, with yi = f(xi). The interpolant uses monotonic cubic splines to find the value of new points x and the derivatives there.

See PchipInterpolator for details.

Parameters:

Parameters:	xi : array_like A sorted list of x-coordinates, of length N. yi : array_like A 1-D array of real values. yi’s length along the interpolation axis must be equal to the length of xi. If N-D array, use axis parameter to select correct axis. x : scalar or array_like Of length M. der : int or list, optional Derivatives to extract. The 0-th derivative can be included to return the function value. 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,

xi : array_like: A sorted list of x-coordinates, of length N.
yi : array_like: A 1-D array of real values. yi’s length along the interpolation axis must be equal to the length of xi. If N-D array, use axis parameter to select correct axis.
x : scalar or array_like: Of length M.
der : int or list, optional: Derivatives to extract. The 0-th derivative can be included to return the function value.
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,

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