You're reading from Time Series Analysis with Python Cookbook Practical recipes for exploratory data analysis, data preparation, forecasting, and model evaluation

Product type Paperback

Published in Apr 2025

Publisher

ISBN-13 9781805124283

Length 98 pages

Edition 2nd Edition

Languages

Python

Concepts

Data Analysis

Author (1):

Tarek A. Atwan

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Table of Contents (13) Chapters

1. Time Series Analysis with Python Cookbook, Second Edition: Practical recipes for exploratory data analysis, data preparation, forecasting, and model evaluation FREE CHAPTER

2. Getting Started with Time Series Analysis

3. Reading Time Series Data from Files

4. Reading Time Series Data from Databases

5. Persisting Time Series Data to Files

6. Persisting Time Series Data to Databases

7. Working with Date and Time in Python

8. Handling Missing Data

9. Outlier Detection Using Statistical Methods

10. Exploratory Data Analysis and Diagnosis

11. Building Univariate Time Series Models Using Statistical Methods

12. Additional Statistical Modeling Techniques for Time Series

13. Outlier Detection Using Unsupervised Machine Learning

Serializing time series data with pickle

When working with data in Python, you may want to persist Python data structures or objects, such as a pandas DataFrame, to disk instead of keeping it in memory. One technique is to serialize your data into a byte stream to store it in a file. In Python, the pickle module is a popular approach to object serialization and de-serialization (the reverse of serialization), also known as pickling and unpickling.

Getting ready

The pickle module comes with Python, so no additional installation is needed.

In this recipe, we will explore two different methods for serializing the data, commonly referred to as pickling.

You will be using the COVID-19 dataset provided by the COVID-19 Data Repository by the Center for Systems Science and Engineering (CSSE) at Johns Hopkins University, which you can download from the official GitHub repository here: https://github.com/CSSEGISandData/COVID-19. Note that John Hopkins University is no longer updating the dataset...

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You're reading from Time Series Analysis with Python Cookbook Practical recipes for exploratory data analysis, data preparation, forecasting, and model evaluation

Table of Contents (13) Chapters

Serializing time series data with pickle

Getting ready

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You're reading from Time Series Analysis with Python Cookbook Practical recipes for exploratory data analysis, data preparation, forecasting, and model evaluation

Table of Contents (13) Chapters

Serializing time series data with pickle

Getting ready

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