有没有办法在python中使用MySQL来持久化数据帧中的数据？

有没有办法在python中使用MySQL来持久化熊猫数据框中的数据。

是的，您可以使用sqlalchemy

import pandas as pd
import mysql.connector
from sqlalchemy import create_engine
import pymysql

engine = create_engine('mysql+mysqlconnector://[user]:[pass]@[host]:[port]/[schema]', 
 echo=False)
df.to_sql(name='sample_table2', con=engine, if_exists = 'append', index=False)

使用pymysql连接器

# Connect to the database
connection = pymysql.connect(host='localhost', user='root', password='root', db='test')
cursor = connection.cursor()
# connection is not autocommit by default. So we must commit to save our changes.
connection.commit()

engine = create_engine(f"mysql+pymysql://root:root@localhost/test"
                    .format(user="root",
                            pw="root",
                            db="test"))
df.to_sql(name='sample_table2', con=engine, if_exists = 'append', index=False)

---

是的，你可以使用sqlalchemy

import pandas as pd
import mysql.connector
from sqlalchemy import create_engine
import pymysql

engine = create_engine('mysql+mysqlconnector://[user]:[pass]@[host]:[port]/[schema]', 
 echo=False)
df.to_sql(name='sample_table2', con=engine, if_exists = 'append', index=False)

使用pymysql连接器

# Connect to the database
connection = pymysql.connect(host='localhost', user='root', password='root', db='test')
cursor = connection.cursor()
# connection is not autocommit by default. So we must commit to save our changes.
connection.commit()

engine = create_engine(f"mysql+pymysql://root:root@localhost/test"
                    .format(user="root",
                            pw="root",
                            db="test"))
df.to_sql(name='sample_table2', con=engine, if_exists = 'append', index=False)

---

您推荐其他连接器吗@pydANYWAY我使用了pymysql连接器。我开始了一些工作。很抱歉我也在更新pymysql连接部分。请检查我们不需要导入pymysql，sqlalchemy会注意的，请测试代码您推荐其他连接器吗@pydANYWAY我使用了pymysql连接器。我开始了一些工作。很抱歉我也在更新pymysql连接部分。请检查我们不需要导入pymysql，sqlalchemy会处理的，请测试代码