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

View More author details

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

Reading data from URLs

Files can be downloaded and stored locally on your machine, or stored on a remote server or cloud location. In the earlier two recipes, Reading from CSVs and other delimited files, and Reading data from an Excel file, both files were stored locally.

Many of the pandas reader functions can read data from remote locations by passing a URL path. For example, read_csv() and read_excel() can take a URL to read a file accessible via the internet. In this recipe, you will read a CSV file using pandas.read_csv() and Excel files using pandas.read_excel() from remote locations, such as GitHub and AWS S3 (private and public buckets). You will also read data directly from an HTML page into a pandas DataFrame.

Getting ready

You will need to install the AWS SDK for Python (Boto3) for reading files from S3 buckets. Additionally, you will learn how to use the storage_options parameter available in many of the reader functions in pandas to read from S3 without the Boto3 library...