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Time Series Indexing

You're reading from   Time Series Indexing Implement iSAX in Python to index time series with confidence

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Product type Paperback
Published in Jun 2023
Publisher Packt
ISBN-13 9781838821951
Length 248 pages
Edition 1st Edition
Languages
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Author (1):
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Mihalis Tsoukalos Mihalis Tsoukalos
Author Profile Icon Mihalis Tsoukalos
Mihalis Tsoukalos
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Table of Contents (11) Chapters Close

Preface 1. Chapter 1: An Introduction to Time Series and the Required Python Knowledge 2. Chapter 2: Implementing SAX FREE CHAPTER 3. Chapter 3: iSAX – The Required Theory 4. Chapter 4: iSAX – The Implementation 5. Chapter 5: Joining and Comparing iSAX Indexes 6. Chapter 6: Visualizing iSAX Indexes 7. Chapter 7: Using iSAX to Approximate MPdist 8. Chapter 8: Conclusions and Next Steps 9. Index 10. Other Books You May Enjoy

A quick look at the iSAX Python package

In this section, we will take a first look at the iSAX Python package to get a better idea of the supported functionality. Although we will begin with the code from the sax package we developed in Chapter 2, we are going to rename that package isax and create additional source code, which is named isax.py.

The structure of the isax directory with the Python files is going to be as follows:

$ tree isax/
isax/
├── SAXalphabet
├── __init__.py
├── isax.py
├── sax.py
├── tools.py
└── variables.py
1 directory, 6 files

So, in total, we have six files. You already know five of them from the sax package. The only new one is the isax.py source code file, which is the core file for this chapter. Additionally, we are going to add more global variables to the variables.py file and some functions to tools.py.

The list of...

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