cupyx.scipy.interpolate.krogh_interpolate#
- cupyx.scipy.interpolate.krogh_interpolate(xi, yi, x, der=0, axis=0)[source]#
Convenience function for polynomial interpolation
- Parameters:
xi (cupy.ndarray) – x-coordinate
yi (cupy.ndarray) – y-coordinates, of shape
(xi.size, R)
. Interpreted as vectors of length R, or scalars if R=1x (cupy.ndarray) – 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 x-coordinate values
- Returns:
d – If the interpolator’s values are R-D 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
- Return type:
See also