Python批量处理CSV文件

#encoding: utf-8
__author__ = 'DELL'
import csv
import glob
import datetime
import sys
import os
reload(sys)
#中文错误
sys.setdefaultencoding( "utf-8" )
'''
@author likehua
CSV批处理
'''
class BatchProcessCSV:
def __init__(self,inputfolder="c:\\input\\",outputfolder="c:\\output\\"):
self.inputfolder=inputfolder
self.outputfolder=outputfolder
#批处理
def doBatchAction(self):
startTime=datetime.datetime.now()
print(u"开始处理...")
if (os.path.exists(self.outputfolder)==False):
#pass
os.makedirs(self.outputfolder)
list_dirs = os.walk(self.inputfolder)
for root, dirs, files in list_dirs:
#print i
for file in files:
otput=self.outputfolder+file
self.readcsv2csv(self.inputfolder+file,otput)
print(u"Running.........................\n") endTime=datetime.datetime.now()
print(u"处理完成，耗时：%f秒"%(endTime-startTime).seconds) #读取一个csv提取部分信息生成新的CSV
def readcsv2csv(self,inputfile,outputfile):
with open(inputfile, 'rb') as csvfile:
o=open(outputfile,"wb")
#解决csv浏览乱码问题
o.write('\xEF\xBB\xBF');
writer=csv.writer(o)
#读取列 将字符串转为数组
column=csvfile.readline().split(",")
#print(column.index('App Release Date'))
#print(column)
writer.writerow(['Rank' ,'Category', 'Country ','App Name', 'Value', 'Unit' , 'App Release Date', 'Publisher Name', 'Company Name', 'Parent Company Name'])
reader = csv.reader(csvfile)
#table = reader[0]
#Rank, Category, Store, Device, Type, Country, Period,Version, App_ID, App_Name, Value, Unit, Value_Type, AppURL, App_IAP, App_Category, App_Device, Current_Price, App_Release_Date, Publisher_ID, Publisher_Name, CompanyName, ParentCompanyName, AppNameUnified, AppFranchise, UnifiedAppID, AppFranchiseID, CompanyID, ParentCompanyID
for row in reader:
lenth=len(row)
if lenth>10:
writer.writerow([row[column.index("Rank")],row[column.index("Category")],row[column.index("Country")],row[column.index("App Name")],row[column.index("Value")],row[column.index("Unit")],row[column.index("App Release Date")],row[column.index("Publisher Name")],row[column.index("Company Name")],row[column.index("Parent Company Name")]])#process
if __name__=="__main__":
csvProcess=BatchProcessCSV("c:\\input\\","e:\\output\\")
csvProcess.doBatchAction()