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Summary: Learn how to combine multiple Excel files into one using Python, especially when they have the same columns. This guide provides practical steps and insights to streamline your data combining process.
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Combine Excel Files into One with Python

Whether you are an analyst, data scientist, or simply someone who works extensively with Excel files, you often find yourself needing to combine multiple files into one. Fortunately, Python provides an efficient way to automate this process, especially if the Excel files you are dealing with have the same columns. This post will guide you through the steps to combine multiple Excel files into one using Python.

Prerequisites

Before diving into the code, ensure you have the following:

Python installed on your machine.

Pandas library installed (pip install pandas).

Openpyxl library installed (pip install openpyxl).

Step-by-Step Guide

Import Necessary Libraries

First, import the necessary libraries that will help you read and merge Excel files.

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Load Excel Files

Put all your Excel files in one directory. Here is how you can list all files in a directory and filter out only Excel files:

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Read and Combine Excel Files

Assuming all your Excel files have the same columns, utilize Pandas to read and concatenate them into a single DataFrame.

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Save the Combined DataFrame to a New Excel File

Finally, save the combined DataFrame into a new Excel file.

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Full Script

For convenience, here is the complete script for combining multiple Excel files into one:

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Conclusion

Combining multiple Excel files into one can be a daunting task if done manually, particularly when dealing with large datasets. However, using Python and its powerful libraries like Pandas, you can automate and streamline the process significantly. This is especially convenient when your Excel files have the same columns, making the combination process seamless and efficient.

Give it a try and see how much time you can save!