pandas dataframe到mysql db错误数据库风味mysql不支持 [英] pandas dataframe to mysql db error database flavor mysql is not supported

问题描述

我在pandas数据框df中有一张桌子.

I have a table in pandas dataframe df.

   product_id_x    product_id_y    count       date
0   288472           288473          1     2016-11-08 04:02:07
1   288473           2933696         1     2016-11-08 04:02:07
2   288473           85694162        1     2016-11-08 04:02:07

我想将此表保存在mysql数据库中.

i want to save this table in mysql database.

我正在使用MySQLdb软件包.

i am using MySQLdb package.

import MySQLdb
conn = MySQLdb.connect(host="xxx.xxx.xx.xx", user="name", passwd="pwd", db="dbname")

df.to_sql(con = conn, name = 'sample_insert', if_exists = 'append', flavor = 'mysql', index = False)

我使用此查询将其放入我的数据库中.

i used this query to put it in my db.

但是我出错了.

ValueError: database flavor mysql is not supported

所有列的数据类型均为str.

my datatype is str for all the columns.

type(df['product_id_x'][0]) = str
type(df['product_id_y'][0]) = str
type(df['count'][0])        = str
type(df['date'][0])         = str

我不想使用sqlalchemy或其他软件包，任何人都可以在这里说出什么错误. 预先感谢

i don't want to use sqlalchemy or other packages, can anyone tell what's the error here. Thanks in advance

推荐答案

pandas版本0.19中不推荐使用mysql版本.您必须使用sqlalchemy的引擎来创建与数据库的连接.

The flavor 'mysql' is deprecated in pandas version 0.19. You have to use the engine from sqlalchemy to create the connection with the database.

from sqlalchemy import create_engine
engine = create_engine("mysql+mysqldb://USER:"+'PASSWORD'+"@localhost/DATABASE")
df.to_sql(con=engine, if_exists='append', index=False)

定义引擎时，需要指定用户，密码，主机和数据库.在您的特定情况下，它应该类似于:

When defining your engine, you need to specify your user, password, host and database. In your specific case, this should look like:

engine = create_engine("mysql+mysqldb://name:[e-mail]/dbname")

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