DTW (Dynamic Time Warping) requires prior normalization? I'm trying DTW from mlpy, to check similarity between time series.

Should I normalize the series before processing them with DTW? Or is it somewhat tolerant and I can use the series as they are?

All time series stored in a Pandas Dataframe, each in one column. Size is less than 10k points.
I am glad you asked ;-)

In 99% of cases, you must z-normalize.

Want to know why? I wrote a tutorial on this, page 46
http://www.cs.unm.edu/~mueen/DTW.pdf