The Pandas Workshop

Chapter 13: Exploring Time Series

Here, you will learn how to use time data in the index to enable advanced capabilities such as resampling to different time intervals, interpolating, and modeling as a function of time. In Chapter 11, Data Modeling – Regression Modeling, you learned how to use multiple regressions as a powerful data modeling approach, and by the end of this chapter, you will be able to use regression with time series as well.

You will cover the following topics as you work through this chapter:

• The time series as an index
• Resampling, grouping, and aggregation by time
• Activity 13.01 – Creating a time series model

The time series as an index

In many of the examples so far, we have had a column in a DataFrame containing dates ...