scipy.interpolate.lagrange¶
- scipy.interpolate.lagrange(x, w)[source]¶
Return a Lagrange interpolating polynomial.
Given two 1-D arrays x and w, returns the Lagrange interpolating polynomial through the points (x, w).
Warning: This implementation is numerically unstable. Do not expect to be able to use more than about 20 points even if they are chosen optimally.
Parameters: x : array_like
x represents the x-coordinates of a set of datapoints.
w : array_like
w represents the y-coordinates of a set of datapoints, i.e. f(x).
Returns: lagrange : numpy.poly1d instance
The Lagrange interpolating polynomial.