fastdtw | Stan Salvador and Philip Chan

I am trying to use the DTW algorithm from the Similarity Measures library. However, I get hit with an error that states a 2-Dimensional Array is required. I am not sure I understand how to properly format the data, and the documentation is leaving me scratching my head.

https://github.com/cjekel/similarity_measures/blob/master/docs/similaritymeasures.html

According to the documentation the function takes two arguments (exp_data and num_data ) for the data set, which makes sense. What doesn't make sense to me is:

exp_data : array_like

Curve from your experimental data. exp_data is of (M, N) shape, where M is the number of data points, and N is the number of dimensions

This is the same for both the exp_data and num_data arguments.

So, for further clarification, let's say I am implementing the fastdtw library. It looks like this:

So I can find alot of guides on DTW for python, and they work as they should. But I need the code translatet into C, but it's over a year since I've written C code.

So in C code I have these two arrays

In time series analysis, dynamic time warping (DTW) is one of the algorithms for measuring similarity between two temporal sequences, which may vary in speed. Fast DTW is a more faster method. I would like to know how to implement this method not only between 2 signals but 3 or more.