python批量处理txt文件的实例代码

#import numpy as np
import pandas as pd
import os
folder = 'D:/log/A190820C31N82'
def all_files_in_a_folder_iter(folder):
  import os
  for root, dirs, files in os.walk(folder):
    for file in files:
      # 获取文件路径
      yield (os.path.join(root, file))
#对CH1-CH2到CH7-CH8的文件夹进行排序
l = os.listdir('D:/log/A190820C31N82/08 583fF  2.3.10.0 30fps')
dic ={}
n=1
for i in l:
  if 'CH' in i:
    dic[i] = n
    n=n+1
#对电容大小排序
dd = os.listdir('D:/log/A190820C31N82')
dsc = {}
m=1
for j in dd:
  if 'fF' in j:
    dsc[j] = m
    m=m+1
#import xlrd
#import xlwt
from openpyxl import load_workbook
#import openpyxl
#打开Excel文件
wb = load_workbook('D:/log/data_process.xlsx')#生成一个已存在的wookbook对象
wb1 = wb.active#激活sheet
for i in all_files_in_a_folder_iter(folder):
  if '.txt' in i and 'ECT' in i:
#    print(i)
    a = pd.read_table(i,header=None)
    s = i.split('\\')[2]
    t = i.split('\\')[1]
    n = dic[s]
    m = dsc[t]
    res = a.values[:,n].mean() #做均值处理，保存结果
    
    wb1.cell(t*5+1,n+2,res)#往sheet中的第t*5+1行第n+2列写入均值
wb.save('D:/log/data_process.xlsx')#保存
wb.close()