Time Series Indexes—Methods

Introduction

Having covered the attributes that come with time series index objects, we’ll now look at the essential methods and operations for time series data manipulation. In particular, we’ll explore the techniques that go beyond the indexing and slicing tasks already seen in the earlier lessons.

Understanding the common methods and operations that come with time series indexes is crucial for effectively manipulating and analyzing time-series data. As before, we’ll focus on the DatetimeIndex object given its common usage and ideal representation of time series indexes.

We’ll use the New Delhi daily climate time series dataset for the examples in this lesson.