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Comprehensive dynamic time warping module for python.
Documentation isavailable via ReadTheDocs.

Note: Please consider to usepython-dtw package which is compatible withdtw for R.

pip install dtwalign

byNumba

• before alignment

• after alignment

example:

Symmetric2	AsymmetricP2	TypeIVc

example:

Sakoechiba	Itakura	User defined

seeexample

1. Sakoe, H.; Chiba, S., Dynamic programming algorithm optimization for spoken word recognition, Acoustics, Speech, and Signal Processing

• Paolo Tormene, Toni Giorgino, Silvana Quaglini, Mario Stefanelli (2008). Matching Incomplete Time Series with Dynamic Time Warping: An Algorithm and an Application to Post-Stroke Rehabilitation. Artificial Intelligence in Medicine, 45(1), 11-34.

• Toni Giorgino (2009). Computing and Visualizing Dynamic Time Warping Alignments in R: The dtw Package. Journal of Statistical Software, 31(7), 1-24.