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

Working with DatetimeIndex

The pandas library has many options and features to simplify tedious tasks when working with time-series data, dates, and time.

When working with time-series data in Python, it is common to load into a pandas DataFrame with an index of type DatetimeIndex. As an index, the DatetimeIndex class extends pandas DataFrame capabilities to work more efficiently and intelligently with time-series data. This was demonstrated numerous times in Chapter 2, Reading Time Series Data from Files, and Chapter 3, Reading Time Series Data from Databases.

By the end of this recipe, you will appreciate pandas' rich set of date functionality to handle almost any representation of date/time in your data. Additionally, you will learn how to use different functions in pandas to convert date-like objects to a DatetimeIndex.

How to do it…

In this recipe, you will explore Python's datetime module and learn about the Timestamp and DatetimeIndex classes and the relationship...

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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

Working with DatetimeIndex

How to do it…

Authors (1)

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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

Working with DatetimeIndex

How to do it…

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Authors (1)

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