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pandas is a powerful data manipulation library for python. one common task when working with data is to insert a new column into an existing dataframe. in this tutorial, we will explore how to add a new column to a pandas dataframe using various methods.
make sure you have pandas installed. you can install it using:
let's start by creating a simple dataframe as our sample data:
you can add a new column to a dataframe by directly using square bracket notation. here's an example:
the insert method allows you to add a new column at a specific location within the dataframe. here's an example:
the assign method allows you to create a new dataframe with additional columns. it doesn't modify the original dataframe, so you need to reassign it if you want to keep the changes. here's an example:
in this tutorial, we covered three different methods to add a new column to a pandas dataframe in python. each method has its use cases, and you can choose the one that fits your requirements best. experiment with these methods to become familiar with the flexibility that pandas provides for data manipulation.
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