Understanding Python Data Structures: A Deep Dive into Series with Pandas
Welcome back! Now that we understand the basics of Pandas, let's dive right into one of the most basic concepts: series. In this blog post, I will endeavor to cover the basics of a Pandas series and how you can apply it to be better placed to work with data. Let's get started! Pandas Series A Panda Series is an one-dimensional, array-like object, capable of holding data of any type, such as integer, float, or string. Every element has an associated unique identifier called an index. You think of a Series as a column in a spreadsheet or a single column of a database table. Series is a core data structure in pandas and is widely used in most of the data manipulation and analysis tasks. Series objects can be created from lists, arrays, dictionaries, and from other existing Series. More importantly, Series are one of the base elements used for constructing the higher dimensional Pandas DataFrame object, which can be visualized as a two-dimensional table-like structure. Labels Unles...