How to Use and Remove Trend Information from Time Series Data in Python

Last Updated on August 15, 2020

Our time series dataset may contain a trend.

A trend is a continued increase or decrease in the series over time. There can be benefit in identifying, modeling, and even removing trend information from your time series dataset.

In this tutorial, you will discover how to model and remove trend information from time series data in Python.

After completing this tutorial, you will know:

• The importance and types of trends that may exist in time series and how to identify them.
• How to use a simple differencing method to remove a trend.
• How to model a linear trend and remove it from a sales time series dataset.

Kick-start your project with my new book Time Series Forecasting With Python, including step-by-step tutorials and the Python source code files for all examples.

Let’s get started.

• Updated Apr/2019: Updated the link to dataset.