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_Interpolator1DWithDerivatives.derivatives(self, x, der=None)

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

Parameters

x : array_like

Point or points at which to evaluate the derivatives

der : int 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

d : ndarray

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.

Evaluate many derivatives of the polynomial at the point x

Examples

from scipy.interpolate import KroghInterpolator
KroghInterpolator([0,0,0],[1,2,3]).derivatives(0)
KroghInterpolator([0,0,0],[1,2,3]).derivatives([0,0])
See :

Local connectivity graph

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GitHub : /scipy/interpolate/_polyint.py#144
type: <class 'function'>
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