# 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). lagrange : numpy.poly1d instance The Lagrange interpolating polynomial.

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