如下所示：

# -*- coding: utf-8 -*-import os import pandas as pdimport numpy as np#from os import sysdef appendStr(strs): return "BOQ" + strsdef 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。