Dynamic Time Warping in Python [closed]

Answer 1

For the record, I have been able to use a mashup of R, DTW in R, and rpy2. Working with R in Python is surprisingly simple and extends python's statistical capabilities considerably. Here's an example of finding the distance between an offset noisy sine and cosine series:

    import rpy2.robjects as robjects
    r = robjects.r
    r('library("dtw")')
    idx = r.seq(0,6.28,len=100)
    template = r.cos(idx)
    query = r.sin(idx)+r('runif(100)/10')
    alignment=r.dtw(query,template,keep=r('TRUE'))
    robjects.globalenv["alignment"] =  alignment
    dist = r('alignment$distance')
    print(dist)

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