Python利用pandas与SQLAlchemy快速将CSV数据导入数据库

# -*- coding:utf-8 -*-
# auth:ckf
# date:20170703
import pandas as pd
import cStringIO
import warnings
from sqlalchemy import create_engine
import sys

reload(sys)
sys.setdefaultencoding('utf8')
warnings.filterwarnings('ignore')

engine = create_engine(
 'postgresql+psycopg2://'数据库连接)

filename = sys.argv[1]
tablename = sys.argv[2]
print '=== csvname is',filename ,'tablename is',tablename,'==='

print 'read', filename, '...'
df = pd.read_csv(filename, sep=';')
print 'read', filename, 'done!'

print 'lets insert ...'
output = cStringIO.StringIO()
# ignore the index
df.to_csv(output, sep='\t',index = False, header = False)
output.getvalue()
# jump to start of stream
output.seek(0)

connection = engine.raw_connection()
cursor = connection.cursor()
# null value become ''
cursor.copy_from(output,tablename,null='')
connection.commit()
cursor.close()
print 'done!'