# orangeDTW

**Repository Path**: mirrors_Orange-OpenSource/orangeDTW

## Basic Information

- **Project Name**: orangeDTW
- **Description**: The Dynamic Time Warping (DTW) allows to measure the difference between two temporal sequences, that can have significant distorsions one to another. This code implemented in fortran allows a very efficient access to this function under python.
- **Primary Language**: Unknown
- **License**: MIT
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2020-08-18
- **Last Updated**: 2026-02-14

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

EFFICIENT DTW FOR PYTHON 2 AND 3

Copyright © 2019 Orange – All rights reserved

# INSTALLATION

The program f2py or f2py3 should already be installed, along with the fortran compiler (gfortran for instance).

Compile the python library with:

f2py -m dtw -c DTW.FOR

or

f2py3 -m dtw -c DTW.FOR

# USE UNDER PYTHON 2 OR 3

The library should be imported using

import dtw

then the library is called by the syntax dtw.dtw(adim1=adim1 bdim1=bdim1, adim2=adim2, bdim2=bdim2, a=a, b=b)

a and b are numpy arrays of respective dimensions [adim2, adim1] and [bdim2, bdim1].
The procedures returns an array of reals of dimension [adim2, bdim2].