How to generate equispaced interpolating values

Question

I have a list of (x,y) values that are not uniformly spaced. Here is the archive used in this question.

I am able to interpolate between the values but what I get ar

Answer 1

Expanding on the answer by @Christian K., here's how to do this for higher dimensional data with scipy.interpolate.interpn. Let's say we want to resample to 10 equally-spaced points:

import numpy as np
import scipy
# Assuming that 'data' is rows x dims (where dims is the dimensionality)
diffs = data[1:, :] - data[:-1, :]
dist = np.linalg.norm(diffs, axis=1)
u = np.cumsum(dist)
u = np.hstack([[0], u])
t = np.linspace(0, u[-1], 10)
resampled = scipy.interpolate.interpn((u,), pts, t)