python怎么批量读取txt文件为DataFrame格式

import os

import pandas

import codecs

import glob

import pandas as pd

os.getcwd()

os.chdir('D:\AAAASXQ\python study\data preprocessing')

def txtcombine()：

 files = glob.glob('*.txt')

 all = codecs.open('all.txt','a')

 for filename in flist:

 print(filename)

 fopen=codecs.open(filename,'r',encoding='utf-8')

 lines=[]

 lines=fopen.readlines()

 fopen.close()

 i=0

 for line in lines:

  for x in line:

  all.write(x)

 #读取为DataFrame格式

 all1 = pd.read_csv('all.txt',sep=' ',encoding='GB2312')

 #保存为csv格式

 all1.to_csv('all.csv',encoding='GB2312')

if name == 'main':

 txtcombine()