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

Hello, I'm PiPi.

1. Introduction

Recently a member of the Python community asked a Pandas data merging question, shown in the image below.

In a previous article we covered three methods; this article presents another approach.

2. Implementation

Following guidance, the following code reads all text files in a folder, concatenates them, replaces underscores in the first column, and saves the result to a CSV file.

from pathlib import Path
import pandas as pd

# Read files (skip first line, no header) and concatenate
df = pd.concat([pd.read_csv(file, sep=" ", skiprows=1, header=None) for file in Path(r'./data/').glob('*.txt')])

# Remove underscores in the first column
df[0] = df[0].str.replace('_', ' ')

# Save to csv
df.to_csv('txt_concat.csv')

This method successfully resolves the user's issue.

3. Summary

The article demonstrates a concrete Pandas solution for merging multiple text files, providing clear code and explanation to help readers solve similar data analysis problems.