# scipy.interpolate.KroghInterpolator.derivatives¶

KroghInterpolator.derivatives(self, x, der=None)[source]

Evaluate many derivatives of the polynomial at the point x

Produce an array of all derivative values at the point x.

Parameters
xarray_like

Point or points at which to evaluate the derivatives

derint or None, optional

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

>>> 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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