Testing Site Testing Site

skip to navigation
skip to content

fastdtw 0.3.4

Dynamic Time Warping (DTW) algorithm with an O(N) time and memory complexity.


Python implementation of FastDTW [1], which is an approximate Dynamic Time Warping (DTW) algorithm that provides optimal or near-optimal alignments with an O(N) time and memory complexity.


pip install fastdtw


import numpy as np
from scipy.spatial.distance import euclidean

from fastdtw import fastdtw

x = np.array([[1,1], [2,2], [3,3], [4,4], [5,5]])
y = np.array([[2,2], [3,3], [4,4]])
distance, path = fastdtw(x, y, dist=euclidean)


[1]Stan Salvador, and Philip Chan. “FastDTW: Toward accurate dynamic time warping in linear time and space.” Intelligent Data Analysis 11.5 (2007): 561-580.
File Type Py Version Uploaded on Size
fastdtw-0.3.4.tar.gz (md5) Source 2017-07-16 115KB