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CFFI binding for UTC DTW suite

Project description

UCRDTW-cffi: Dynamic Time Warping with UCR optimizations

[![Build Status](](

Based on [Searching and Mining Trillions of Time Series Subsequences under Dynamic Time Warping]( .

C implementation from [libdtw](

Interface and tests from

### Requirements

Python 2.7+ or 3.3+, numpy 1.8+

### Usage

from ucrdtw_cffi import dtw_query
import numpy as np
import matplotlib.pyplot as plt

data = np.cumsum(np.random.uniform(-0.5, 0.5, 1000000))
query = np.cumsum(np.random.uniform(-0.5, 0.5, 100))
loc, dist = _ucrdtw.ucrdtw(data, query, 0.05, True)
query = np.concatenate((np.linspace(0.0, 0.0, loc), query)) + (data[loc] - query[0])


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