Fundamentals 3 min read

How to Merge Multiple Text Files with Pandas: A Step-by-Step Guide

This article walks through a practical Pandas solution for merging several text files in a folder, showing how to read each file, concatenate the data frames, and export the combined result as a CSV, complete with sample code and usage tips.

Python Crawling & Data Mining
Python Crawling & Data Mining
Python Crawling & Data Mining
How to Merge Multiple Text Files with Pandas: A Step-by-Step Guide

1. Introduction

In a recent Python community chat a user asked how to merge multiple text files using Pandas. The article presents a straightforward method to read all .txt files in a folder, concatenate them, and export the result as a CSV file.

2. Implementation

The guide shows the following steps:

import pandas as pd
from pathlib import Path
folder_path = Path(r'C:\Users\admin\Desktop\测试\\')
file_list = [i for i in folder_path.glob('*.txt')]
file = []
for i in file_list:
    df = pd.read_csv(i, sep=' ')
    file.append(df)
file_all = pd.concat(file)
file_all.to_csv('txt合并.csv')

This script successfully merges the text files as requested.

3. Summary

The provided code resolves the Pandas data‑merge question and can be adapted for similar data‑analysis tasks.

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Python Crawling & Data Mining
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