Importance of Combining Data
Explore how to combine pandas Series and DataFrames effectively for enhanced data manipulation. Understand the key pandas data structures and their roles in integrating data from various sources to gain deeper insights and more comprehensive analysis.
We'll cover the following...
We'll cover the following...
Recap of pandas data structures
Before we see how data can be combined and manipulated, let's briefly go over pandas data structures. The two primary data structures of the pandas library are the Series (one-dimensional data) and the DataFrame (two-dimensional data).
Series
A Series is a one-dimensional labeled array that can hold any data type (integers, strings, floating point numbers, objects, etc.). The data in a Series also comes with axis labels collectively ...