python中将txt文件转换为csv文件的三种方法举例

Name, Age, City
John, 25, New York
Alice, 30, San Francisco
Bob, 28, Los Angeles

import csv

# 读取txt文件
txt_file_path = 'data.txt'
csv_file_path = 'data.csv'

with open(txt_file_path, 'r') as txt_file, open(csv_file_path, 'w', newline='') as csv_file:
    # 创建CSV写入器
    csv_writer = csv.writer(csv_file)

    # 使用CSV读取器逐行读取txt文件
    csv_reader = csv.reader(txt_file)

    # 将每一行的内容写入CSV文件
    for row in csv_reader:
        csv_writer.writerow(row)

print(f"Successfully converted {txt_file_path} to {csv_file_path}.")

import pandas as pd

# 读取txt文件
txt_file_path = 'data.txt'
csv_file_path = 'data.csv'

# 使用pandas读取txt文件
df = pd.read_csv(txt_file_path, delimiter=', ')

# 将数据写入csv文件
df.to_csv(csv_file_path, index=False)

print(f"Successfully converted {txt_file_path} to {csv_file_path}.")

# 读取txt文件
txt_file_path = 'data.txt'
csv_file_path = 'data.csv'

with open(txt_file_path, 'r') as txt_file, open(csv_file_path, 'w', newline='') as csv_file:
    # 逐行读取txt文件
    for line in txt_file:
        # 假设txt文件中的字段是由逗号和空格分隔的
        fields = line.strip().split(', ')
        # 将字段以逗号分隔写入csv文件
        csv_file.write(','.join(fields) + '\n')

print(f"Successfully converted {txt_file_path} to {csv_file_path}.")

import os
import csv
 
def file_name(file_dir):  
    for root, dirs, files in os.walk(file_dir):   
    #root返回当前目录路径；dirs返回当前路径下所有子目录；files返回当前路径下所有非目录子文件
        return root,dirs,files
 
fieldnames=['review','class']
 
if __name__=='__main__':
 
    csv_file=open("./merge.csv",'a+',newline='',encoding='utf-8')
    writer=csv.DictWriter(csv_file,fieldnames=fieldnames)
    writer.writeheader()
 
    file_dir = "E:/SmartTravelling/Code_bert_zhihu/THUCNews/THUCNews"
 
    root_0,dirs_0,_ = file_name(file_dir)
    
    for dir_0 in dirs_0:
        curdir=root_0+'/'+dir_0
        root_1,_,files= file_name(curdir)
 
        for line in files:
            line=root_1+'/'+line
            data=''
            for temp in open(line, 'r',encoding="utf-8").readlines():
                if temp !='/n':
                    data+= temp.strip() 
            
            writer.writerow({'review':data,'class':dir_0})
 
    csv_file.close()