python new column based on condition
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Certainly! Adding a new column to a DataFrame in Python based on a condition is a common task when working with data manipulation using libraries like pandas. In this tutorial, I'll guide you through the process step by step with a code example.
Make sure you have pandas installed. You can install it using:
Let's start by creating a sample DataFrame to work with.
Now, let's say we want to add a new column called 'Status' based on a condition. For example, we want to mark individuals with a score greater than or equal to 90 as 'High' and others as 'Low'.
You can customize the condition based on your specific requirements. For instance, you might want to create a column based on age groups:
You have successfully learned how to add a new column to a DataFrame based on a condition using the pandas library in Python. This technique is powerful for data manipulation and is widely used in data analysis and preprocessing tasks. Feel free to adapt these examples to suit your specific use case!
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