Introducing time-series data
pandas excels in manipulating time-series data. This is very likely because of its origins in processing financial information. These abilities have been continuously refined over all of its versions to progressively increase its capabilities for time-series manipulation.
Indexing using DatetimeIndex
The core of the time-series functionality in pandas revolves around the use of specialized indexes that represent measurements of data at one or more timestamps. These indexes in pandas are referred to as DatetimeIndex objects. These are incredibly powerful objects, and they allow us to automatically align data based on dates and times.
There are several ways to create DatetimeIndex objects in pandas. The following creates a DateTimeindex by passing a list of datetime objects to a Series:
This Series has taken the datetime objects and constructed a DatetimeIndex from the date values. Each value of that index is a Timestamp object.
The following verifies the type of the...
