scipy.interpolate.BarycentricInterpolator.derivatives

BarycentricInterpolator.derivatives(x, der=None)

Evaluate several derivatives of the polynomial at the point x

Produce an array of derivatives evaluated at the point x.

Parameters:

xarray_like

Point or points at which to evaluate the derivatives

derint or list or None, optional

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

Returns:

dndarray

Array with derivatives; d[j] contains the jth derivative. Shape of d[j] is determined by replacing the interpolation axis in the original array with the shape of x.

Examples

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>>> from scipy.interpolate import KroghInterpolator
>>> KroghInterpolator([0,0,0],[1,2,3]).derivatives(0)
array([1.0,2.0,3.0])
>>> KroghInterpolator([0,0,0],[1,2,3]).derivatives([0,0])
array([[1.0,1.0],
       [2.0,2.0],
       [3.0,3.0]])

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