How to compare two CSV files in Python

Comparing two CSV files is a common task in data analysis and quality assurance. Python provides several libraries and tools to make this process efficient and straightforward. In this tutorial, we will explore a step-by-step approach to compare two CSV files using the pandas library, which is a powerful data manipulation and analysis library in Python.
Start by importing the necessary libraries for handling CSV files and data manipulation.
Now, let's compare the two DataFrames and identify the differences.
You can check if the two DataFrames are equal using the equals() function.
To identify specific differences between the two DataFrames, you can use the compare() function.
If you want to save the identified differences to a new CSV file, you can use the to_csv() function.
In this tutorial, we explored how to compare two CSV files in Python using the pandas library. We covered loading CSV files into DataFrames, checking for equality, identifying differences, and optionally saving the differences to a new CSV file. This approach provides a robust and efficient way to compare and analyze CSV files in Python.
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