现在本地电脑上的数据情况如下：可以看到数据库dd已经存在

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用下面的命令就可以很方便的将数据框对象导入到mysql数据库中作为一张表格

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import pandas as pd

import numpy as np

#准备数据框

data1=pd.DataFrame({"x":[1,2,3],"姓名":["张三","李四","王五"]})

from sqlalchemy import create_engine

#需要事先安装pymysql库 pip install pymysql

connection1=create_engine("mysql+pymysql://root:12345@localhost:3306/dd?charset=utf8")

import sqlalchemy

#create_engine的用法可以用help(sqlalchemy.engine)看下。

pd.io.sql.to_sql(data1,"biao3",connection1,schema="dd",if_exists="replace")

type(connection1)

Out[26]: sqlalchemy.engine.base.Engine

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create_engine类的意思可以看看下面的帮助文件

help(sqlalchemy.engine)

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engine = create_engine("mysql://scott:tiger@hostname/dbname",

encoding='latin1', echo=True)

The string form of the URL is

``dialect[+driver]://user:password@host/dbname[?key=value..]``, where

``dialect`` is a database name such as ``mysql``, ``oracle``,

``postgresql``, etc., and ``driver`` the name of a DBAPI, such as

``psycopg2``, ``pyodbc``, ``cx_oracle``, etc. Alternatively,

the URL can be an instance of :class:`~sqlalchemy.engine.url.URL`.

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执行完上面的导入命令，发现数据已经正确导入了

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