scipy.interpolate.krogh_interpolate¶

scipy.interpolate.
krogh_interpolate
(xi, yi, x, der=0, axis=0)[source]¶ Convenience function for polynomial interpolation.
See
KroghInterpolator
for more details.Parameters:  xi : array_like
Known xcoordinates.
 yi : array_like
Known ycoordinates, of shape
(xi.size, R)
. Interpreted as vectors of length R, or scalars if R=1. x : array_like
Point or points at which to evaluate the derivatives.
 der : int or list, optional
How many derivatives to extract; None for all potentially nonzero derivatives (that is a number equal to the number of points), or a list of derivatives to extract. This number includes the function value as 0th derivative.
 axis : int, optional
Axis in the yi array corresponding to the xcoordinate values.
Returns:  d : ndarray
If the interpolator’s values are Rdimensional then the returned array will be the number of derivatives by N by R. If x is a scalar, the middle dimension will be dropped; if the yi are scalars then the last dimension will be dropped.
See also
Notes
Construction of the interpolating polynomial is a relatively expensive process. If you want to evaluate it repeatedly consider using the class KroghInterpolator (which is what this function uses).