1、文件路径下不存在子目录的TXT文件合并
import pandas as pd
import os
path = r"D:\pythonstudy\01_基础学习\TXT"
files = os.listdir(path)
txts = pd.DataFrame()
for file in files:
position = path + os.sep + file
print(position)
data = pd.read_csv(position, sep='\\s+')
txts = pd.concat([txts, data])
txts.to_csv('data003.csv', encoding='gbk', index=False)
2、文件目录下存在子目录的TXT文件合并
from pathlib import Path
import pandas as pd
import os
path = Path(r"G:\data\气象数据")
files = os.listdir(path)
txts = pd.DataFrame()
for file in files:
new_oath = path.joinpath(file)
if os.path.isdir(new_oath):
nd_file = os.listdir(new_oath)[0]
data = pd.read_csv(new_oath.joinpath(nd_file).resolve(), sep='\\s+')
txts = pd.concat([txts, data])
txts.to_csv('data003.csv', encoding='gbk', index=False)