如下所示:

# -*- coding: utf-8 -*-
import os 
import pandas as pd
import numpy as np
#from os import sys

def appendStr(strs):
 return \"BOQ\" + strs

def addBOQ(dirs, csv_file):
 data = pd.read_csv(os.path.join(dirs, csv_file), encoding=\"gbk\")
 data = data[data[u\"BOQ条码\"] != \'None\']
 data[u\"BOQ条码\"] = data[u\"BOQ条码\"].astype(np.str)
 data[u\"BOQ条码\"] = data[u\"BOQ条码\"].apply(appendStr, 1)
 data.to_csv(os.path.join(dirs, csv_file), index=False, encoding=\"gbk\")

def execl2csvbypandas(dirs, excel_file, addStr):
 newdir = os.path.join(dirs, \"csvdir\")
 if not os.path.isdir(newdir):
  os.makedirs(newdir)
 filename = os.path.splitext(excel_file)
 data_xls = pd.read_excel(os.path.join(dirs, excel_file), \'Sheet1\', index_col=0)
 csvname = os.path.join(newdir, filename[0].join([\'sheet1\', \'.csv\']))
 data_xls.to_csv(csvname, encoding=\'gbk\')
 if True == addStr:
  addBOQ(newdir, csvname)

def procExeclFiles(arg, dirs, files):
 print arg
 for f in files:
  file_path = os.path.join(dirs, f)
  if os.path.isfile(file_path):
   print f
   execl2csvbypandas(dirs, f, arg)
 print \"end....\"

 
if __name__ == \"__main__\":
 #遍历目录,并把改目录下的execl转为csv,然后存入该目录下csvdir目录下,传参数True时,是给csv中BOQ条码列添加BOQ字符串,一般为False
 os.path.walk(r\"C:\\Users\\Desktop\\test\", procExeclFiles, (True))

以上这篇python pands实现execl转csv 并修改csv指定列的方法就是小编分享给大家的全部内容了,希望能给大家一个参考,也希望大家多多支持脚本之家。

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