Summary

In this chapter, starting with the enhancements provided by pandas for the Timestamp data types, you saw we can use time-aware methods to interpolate missing values or resample a time series to a higher or lower frequency (period). You used a linear regression model using a lagged series of data, which was enabled by making a datetime index from some text data. You are now prepared to analyze tabular data as well as order time series data, and carry out many transformations to find information hidden in complex data, which we will do in the next chapter.