MySQLdb方式操作數據庫

from sqlalchemy import create_engine
import tushare as ts

df=ts.get_k_data('600000',start='2017-05-31',end='2018-05-31')

engine = create_engine('mysql://root:[email protected]/stock_data')

df.to_sql('tick_data',engine)

C:\ProgramData\Anaconda2\lib\site-packages\sqlalchemy\engine\default.py:470: Warning: Incorrect string value: '\xD6\xD0\xB9\xFA\xB1\xEA...' for column 'VARIABLE_VALUE' at row 480
  cursor.execute(statement, parameters)

df1=ts.get_k_data('600000',start='2018-06-01',end='2018-06-05')

#使用pandas自帶的方式存入數據庫
df1.to_sql('tick_data',engine,if_exists='append')

import MySQLdb

# 打開數據庫連接
db=MySQLdb.connect("localhost", "root", "123456", "stock_data", charset='utf8' )

# 使用cursor()方法獲取操作遊標 
cursor = db.cursor()

# 使用execute方法執行SQL語句
cursor.execute("SELECT * from tick_data")

249L

# 使用 fetchone() 方法獲取一條數據
data_one = cursor.fetchone()

print data_one

(96L, u'2017-05-31', 12.75, 12.84, 13.05, 12.66, 1130098.0, u'600000')

# 使用 fetchall() 方法獲取一條數據
data_all = cursor.fetchall()

db.close()

更多MySQLdb的使用方法見http://www.runoob.com/python/python-mysql.html