Machine Learning

Time Series Data Visualization with Python

Last Updated on September 18, 2019

6 Ways to Plot Your Time Series Data with Python

Time series lends itself naturally to visualization.

Line plots of observations over time are popular, but there is a suite of other plots that you can use to learn more about your problem.

The more you learn about your data, the more likely you are to develop a better forecasting model.

In this tutorial, you will discover 6 different types of plots that you can use to visualize time series data with Python.

Specifically, after completing this tutorial, you will know:

  • How to explore the temporal structure of time series with line plots, lag plots, and autocorrelation plots.
  • How to understand the distribution of observations using histograms and density plots.
  • How to tease out the change in distribution over intervals using box and whisker plots and heat map plots.

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.