python pandas add column to a dataframe
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in data manipulation and analysis with python, the pandas library is a powerful tool. one common operation is adding a new column to an existing dataframe. this tutorial will guide you through the process of adding a column to a pandas dataframe with code examples.
before we begin, ensure that you have python and pandas installed on your system. you can install pandas using the following command:
let's start by creating a simple dataframe for demonstration purposes:
this will output:
you can add a new column to the dataframe using square bracket notation. let's add a "city" column:
output:
the insert method allows you to insert a new column at a specific location. let's add a "gender" column at index 1:
output:
the assign method creates a new dataframe with the added column. this method does not modify the original dataframe in-place. let's add a "salary" column:
output:
you've learned different methods to add a column to a pandas dataframe in python. depending on your specific needs, you can choose the method that best suits your workflow. pandas provides a flexible and efficient way to manipulate and analyze tabular data, making it an essential library for data scientists and analysts.
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