derivatives(self, x, der=None)
Produce an array of all derivative values at the point x.
Point or points at which to evaluate the derivatives
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.
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
>>> 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]])See :
The following pages refer to to this document either explicitly or contain code examples using this.
scipy.interpolate._polyint._Interpolator1DWithDerivatives.derivatives
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