pandas index boolean array

Certainly! In this tutorial, I'll walk you through using boolean arrays for indexing in Pandas. This feature allows you to filter and retrieve specific data from a Pandas DataFrame based on boolean conditions. We'll cover the basics and provide code examples to illustrate the process.
Boolean indexing in Pandas involves selecting rows from a DataFrame that satisfy certain conditions. Boolean arrays are arrays containing boolean values (True or False) which are used to filter rows based on these conditions.
Let's consider a scenario where we have a DataFrame containing information about students:
This creates a DataFrame like this:
Let's say we want to filter the DataFrame to get only the rows where students are 20 years old:
Output:
We can also use logical operators (& for AND, | for OR, ~ for NOT) to create more complex conditions:
Output:
Boolean indexing using boolean arrays in Pandas is a powerful tool for filtering data based on specified conditions. It enables you to extract and manipulate subsets of data within a DataFrame easily. By combining different conditions using logical operators, you can create more complex filters to suit your specific requirements.
ChatGPT