Convert Text Files to Excel with Python: A Step‑by‑Step Pandas Guide

Hello, I'm Pi Pi.

1. Introduction

In the previous article we used Excel for data import and column splitting, but the method was too complex, so we need a more Pythonic approach. This article shows how to do it.

2. Implementation

Guidance from teacher Yu Liang is shown below:

The following code reads a text file, cleans it, converts it to CSV with pandas, and saves it as an Excel file:

with open("./GpsSnr.txt", "r", encoding="utf-8") as f:
    txt = f.readlines()
temp = [x.replace(') ', ',') for x in txt]
with open("./GpsSnr1.txt", "w+", encoding="utf-8") as f:
    f.writelines(temp)
df = pd.read_csv("./GpsSnr1.txt", sep=",", header=None)
df = df.drop(df.columns[-1], axis=1)
print(df.head())
df.to_excel('GpsSnr.xlsx', index=False, header=None)

Another illustration of the guidance:

3. Summary

This article presented a Python automation solution for processing data, providing detailed analysis and code implementation to help readers solve the problem.