pandas is a high-performance library that provides a comprehensive set of data structures for manipulating tabular data, providing high-performance indexing, automatic alignment, reshaping, grouping, joining, and statistical analyses capabilities.
The two primary data structures in pandas are the
Series and the
DataFrame objects. In this chapter, we will examine the
Series object and how it builds on the features of a NumPy
ndarray to provide operations such as indexing, axis labeling, alignment, handling of missing data, and merging across multiple series of data.
In this chapter, we will cover the following topics:
Seriesand its index