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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

Table of Contents (18) Chapters

Preface

Chapter 1: Getting Started with Time Series Analysis

Chapter 2: Reading Time Series Data from Files

Chapter 3: Reading Time Series Data from Databases

Chapter 4: Persisting Time Series Data to Files

Chapter 5: Persisting Time Series Data to Databases

Chapter 6: Working with Date and Time in Python

Chapter 7: Handling Missing Data

Chapter 8: Outlier Detection Using Statistical Methods

Chapter 9: Exploratory Data Analysis and Diagnosis

Chapter 10: Building Univariate Time Series Models Using Statistical Methods

Chapter 11: Additional Statistical Modeling Techniques for Time Series

Chapter 12: Forecasting Using Supervised Machine Learning

Chapter 13: Deep Learning for Time Series Forecasting

Chapter 14: Outlier Detection Using Unsupervised Machine Learning

Chapter 15: Advanced Techniques for Complex Time Series

Index

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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...

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Authors (1)

Tarek A. Atwan

Tarek A. Atwan is a data analytics expert with over 16 years of international consulting experience, providing subject matter expertise in data science, machine learning operations, data engineering, and business intelligence. He has taught multiple hands-on coding boot camps, courses, and workshops on various topics, including data science, data visualization, Python programming, time series forecasting, and blockchain at various universities in the United States. He is regarded as a data science mentor and advisor, working with executive leaders in numerous industries to solve complex problems using a data-driven approach.

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