pandas数据导出Execl

#!/usr/bin/env python
#-*- coding: utf8 -*-
from sqlalchemy import create_engine
import pymysql
import pandas as pd
from pandas import DataFrame,Series

# 数据库连接
engine=create_engine('mysql+pymysql://username:password@192.168.1.1/database_name?charset=gbk')
sql="select count(*) as '总数' from database.table1;"
sql.encode('gb18030')
# pd.read_sql(sql语句，数据库连接)   数据库连接支持pymysql.connect(),cx_Oracle.connect()等。
df=pd.read_sql(sql,engine)
# 创建excel
writer = pd.ExcelWriter('/root/output.xlsx')
# 生成excel文档，默认支持DataFrame数据类型
df.to_excel(writer,'Sheet1',index=False)
writer.save()