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Time Series Analysis with Python Cookbook

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

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Product type Paperback
Published in Apr 2025
Publisher
ISBN-13 9781805124283
Length 98 pages
Edition 2nd Edition
Languages
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Author (1):
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Tarek A. Atwan Tarek A. Atwan
Author Profile Icon Tarek A. Atwan
Tarek A. Atwan
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Table of Contents (13) Chapters Close

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

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 extend this...

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