Скачать или смотреть How to Merge Multiple CSV Files using Python Loops

Discover how to effectively merge multiple CSV files into a single file using Python for and while loops. This guide provides step-by-step instructions and code examples to streamline your data management.
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Merge Multiple CSV Files with Python: A Step-by-Step Guide

Are you looking to consolidate data from multiple CSV files into a single file using Python? If you have around 200 CSV files and you’re unsure how to merge them efficiently, you're in the right place! In this guide, we will break down the process of merging multiple CSV files into one using Python’s pandas library and loops.

Understanding the Problem

You have numerous CSV files (let's say each file contains 1122 rows and 2 columns labeled 'ID' and 'Damage'). Your goal is to compile all these files into a single CSV file, where each 'Damage' column from the original files corresponds to its time in seconds (e.g., 0sec, 1sec, ... 200sec).

Approach

To achieve this, we'll use Python's pandas library for data manipulation and iteration using the for loop in the following steps:

Read CSV Files: Read each CSV file into a pandas DataFrame.

Rename Columns: Rename the 'Damage' column to reflect the time in seconds.

Initialize a Single DataFrame: Create an empty DataFrame to store the merged data.

Merge Files: Add each renamed DataFrame to the main DataFrame using the 'ID' as a common key.

Save the Result: Save the final merged DataFrame into a new CSV file.

Step-by-Step Solution

Step 1: Import Libraries

First, ensure you have pandas and glob installed:

[[See Video to Reveal this Text or Code Snippet]]

Step 2: Initialize Your DataFrame

Start with an empty DataFrame:

[[See Video to Reveal this Text or Code Snippet]]

Step 3: List Your CSV Files

Use glob to find all the CSV files in your directory:

[[See Video to Reveal this Text or Code Snippet]]

Step 4: Loop Through Files

Create a loop that processes each file:

[[See Video to Reveal this Text or Code Snippet]]

Step 5: Save the Merged DataFrame

Finally, save your compiled DataFrame into a new CSV file:

[[See Video to Reveal this Text or Code Snippet]]

Existing Problems

If you've tried a similar approach and received an error message like:

[[See Video to Reveal this Text or Code Snippet]]

Make sure that:

You have initialized your ID column in the main DataFrame before the loop.

You are correctly renaming and referencing your columns.

Conclusion

With these steps, you should be able to merge multiple CSV files into a single file effortlessly. The power of loops and the pandas library makes data manipulation tasks much more manageable in Python. Happy coding!

If you find yourself struggling with any part of the process, don't hesitate to leave a comment. I'm here to help!