DataFrame is a two-dimensional data structure with labeled rows and columns. We often need to add new columns as part of data analysis or feature engineering processes.
There are many different ways of adding new columns. What suits best to your need depends on the task at hand.
In this article, we’ll learn 10 ways to add a column to Pandas DataFrames.
Let’s start by creating a simple DataFrame using the DataFrame constructor of Pandas. We’ll pass the data as a Python dictionary with column names being keys and rows being the values of the dictionary.