Python实现批量合并多个txt文件并生成Excel文件

# data1.txt
Name, Age, City
Alice, 25, New York
Bob, 30, San Francisco

# data2.txt
Name, Age, City
Charlie, 22, Los Angeles
David, 35, Chicago

# data3.txt
Name, Age, City
Eva, 28, Miami
Frank, 40, Seattle

import pandas as pd
import glob

# 获取所有txt文件
files = glob.glob('data*.txt')

# 初始化一个空的DataFrame
merged_data = pd.DataFrame()

# 逐个读取并合并文件
for file in files:
    df = pd.read_csv(file)
    merged_data = pd.concat([merged_data, df], ignore_index=True)

# 生成Excel文件
merged_data.to_excel('merged_data.xlsx', index=False)

# 定制化合并过程
custom_merged_data = pd.DataFrame()

for file in files:
    df = pd.read_csv(file, sep='\t', usecols=['Name', 'City'])
    custom_merged_data = pd.concat([custom_merged_data, df], ignore_index=True)

# 生成定制化Excel文件
custom_merged_data.to_excel('custom_merged_data.xlsx', index=False)

from openpyxl import Workbook

# 创建工作簿和工作表
wb = Workbook()
ws = wb.active

# 逐个读取文件，写入Excel
for file in files:
    with open(file, 'r') as f:
        lines = f.readlines()
        for row in lines:
            ws.append(row.strip().split(','))

# 保存Excel文件
wb.save('manual_merged_data.xlsx')