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Time Series Analysis with Python Cookbook

You're reading from  Time Series Analysis with Python Cookbook

Product type Book
Published in Jun 2022
Publisher Packt
ISBN-13 9781801075541
Pages 630 pages
Edition 1st Edition
Languages
Concepts
Author (1):
Tarek A. Atwan Tarek A. Atwan
Profile icon Tarek A. Atwan

Table of Contents (18) Chapters

Preface 1. Chapter 1: Getting Started with Time Series Analysis 2. Chapter 2: Reading Time Series Data from Files 3. Chapter 3: Reading Time Series Data from Databases 4. Chapter 4: Persisting Time Series Data to Files 5. Chapter 5: Persisting Time Series Data to Databases 6. Chapter 6: Working with Date and Time in Python 7. Chapter 7: Handling Missing Data 8. Chapter 8: Outlier Detection Using Statistical Methods 9. Chapter 9: Exploratory Data Analysis and Diagnosis 10. Chapter 10: Building Univariate Time Series Models Using Statistical Methods 11. Chapter 11: Additional Statistical Modeling Techniques for Time Series 12. Chapter 12: Forecasting Using Supervised Machine Learning 13. Chapter 13: Deep Learning for Time Series Forecasting 14. Chapter 14: Outlier Detection Using Unsupervised Machine Learning 15. Chapter 15: Advanced Techniques for Complex Time Series 16. Index 17. Other Books You May Enjoy

Providing a format argument to DateTime

When working with datasets extracted from different data sources, you may encounter date columns stored in string format, whether from files or databases. In the previous recipe, Working with DatetimeIndex, you explored the pandas.to_datetime() function that can parse various date formats with minimal input. However, you will want more granular control to ensure that the date is parsed correctly. For example, you will now be introduced to the strptime and strftime methods and see how you can specify formatting in pandas.to_datetime() to handle different date formats.

In this recipe, you will learn how to parse strings that represent dates to a datetime or date object (an instance of the class datetime.datetime or datetime.date).

How to do it…

Python's datetime module contains the strptime() method to create datetime or date from a string that contains a date. You will first explore how you can do this in Python and then...

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