title: Python - how to normalize time-series data
body: <p>I have a dataset of time-series examples.  I want to calculate the similarity between various time-series examples, however I do not want to take into account differences due to scaling (i.e. I want to look at similarities in the shape of the time-series, not their absolute value).  So, to this end, I need a way of normalizing the data.  That is, making all of the time-series examples fall between a certain region e.g [0,100].  Can anyone tell me how this can be done in python</p>