cgmcoding

工作中,我们经常遇到CSV乱码的问题,这个时候我们可以使用notepad++处理,当然我们可以使用python处理,代码入下

#coding=utf-8
import pandas as pd
import os
df=open(\'2_wsg_sswl_loan_rejected_tues_fri.csv\',encoding=\'utf-8\').readlines()
result=[]
for i in df:
    a,b,c=i.split(\',\')
    c=c.strip(\'\n\')
    d=c.replace(\'*月*日\',b)
    result.append([a,d])
pd.DataFrame(result).to_csv(\'2_wsg_sswl_loan_rejected_tues_fri.csv\',index=None,header=None,encoding=\'utf-8_sig\')

# print(\'表2更新完成\')
def csv_to_xlsx(file_csv,file_xlsx):
    try:
        csv = pd.read_csv(file_csv)
        csv.to_excel(file_xlsx,sheet_name=\'data\',encoding=\'utf-8_sig\',header=None,index=None)
    except :
        print(file_csv+\'表没有数据,已删除\')

csv_to_xlsx(\'1_cgm_sswl_not_loan_have_conpon.csv\',\'xxx.xlsx\')
csv_to_xlsx(\'2_wsg_sswl_loan_rejected_tues_fri.csv\',\'xxx.xlsx\')
csv_to_xlsx(\'3_wsg_yesterday_visitsswl_unapply_act_tues_fri.csv\',\'xxx.xlsx\')
csv_to_xlsx(\'4_wsg_yesterday_recieve_coupon_not_use_tues_fri.csv\',\'xxx.xlsx\')
csv_to_xlsx(\'5_wsg_sswl_coupon_tomorrow_lapse_mon_thu.csv\',\'xxx.xlsx\')

os.remove(\'1_cgm_sswl_not_loan_have_conpon.csv\') 
os.remove(\'2_wsg_sswl_loan_rejected_tues_fri.csv\') 
os.remove(\'3_wsg_yesterday_visitsswl_unapply_act_tues_fri.csv\') 
os.remove(\'4_wsg_yesterday_recieve_coupon_not_use_tues_fri.csv\') 
os.remove(\'5_wsg_sswl_coupon_tomorrow_lapse_mon_thu.csv\')
print(\'已经全部转化为xlsx\')

可以将py脚本和需要转换的CSV文件放在一起,然后打开cmd运行

分类:

技术点:

相关文章: