Filter using multiple column condition Python 3 6

Certainly! Filtering data based on multiple column conditions is a common operation in data analysis and manipulation using Python. In this tutorial, we'll use the pandas library, which is a powerful tool for data manipulation and analysis. Make sure you have pandas installed before you start:
Now, let's create a simple example to demonstrate how to filter a DataFrame based on multiple column conditions.
Let's say we want to filter the DataFrame to include only rows where both Age is greater than 25 and Score is greater than 80.
In this example, the & operator is used to combine the two conditions. You can use other logical operators like | (OR) or ~ (NOT) based on your specific requirements.
This will output:
Feel free to modify the conditions based on your specific use case. Filtering based on multiple column conditions is a powerful technique that can help you extract the data you need from a DataFrame.
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