当遇到UserWarning: pandas only supports SQLAlchemy connectable (engine/connection)时,应该使用SQLAlchemy来连接数据库,而不是其他数据库连接方式。 在使用pandas从数据库读取数据时,如果直接使用了数据库连接对象(如pymysql的connection对象),而不是通过SQLAlchemy创建的engine对象,就会触发这个警告。这个警告提示我们,pan...
在使用pandas连接数据库时,如MySQL、PostgreSQL等,有时会遇到告警UserWarning: pandas only supports SQLAlchemy connectable。这通常是因为我们没有使用SQLAlchemy来连接数据库,而是使用了其他方式。为了解决这个问题,我们需要确保使用SQLAlchemy来连接数据库。下面是一个使用SQLAlchemy连接MySQL数据库的示例:首先,确保已经安装...
import pandas as pd from sqlalchemy import create_engine MYSQL_HOST = 'localhost' MYSQL_PORT = '3306' MYSQL_USER = 'root' MYSQL_PASSWORD = '123456' MYSQL_DB = 'cldk_data' engine = create_engine('mysql+pymysql://%s:%s@%s:%s/%s?charset=utf8' % (MYSQL_USER, MYSQL_PASSWORD, MYSQL_...
这里是对应的告警:pandas only supports SQLAlchemy connectable (engine/connection) or database string URI or sqlite3 DBAPI2 connection. Other DBAPI2 objects are not tested. Please consider using SQLAlchemy. read_file = pd.read_sql("select * from students", con=connet_1) 其实可以看到,这个只是...
1. 错误 C:\Users\Gao\AppData\Local\Temp\ipykernel_30488\4043406211.py:9: UserWarning: pandas only supports SQLAlchemy connectable (engine/connection) or
这里是对应的告警:pandas only supports SQLAlchemy connectable (engine/connection) or database string URI or sqlite3 DBAPI2 connection. Other DBAPI2 objects are not tested. Please consider using SQLAlchemy.read_file = pd.read_sql("select * from students", con=connet_1) ...
pandas only supports SQLAlchemy connectable (engine/connection) or database string URI or sqlite3 DBAPI2 connection. Other DBAPI2 objects are not tested. Please consider using SQLAlchemy.: 当使用老的书写方式从数据库导入数据到pandas时,会出现这个警告。这个警告是关于使用SQLAlchemy连接数据库的建议2。
执行上面的代码会出现一个警告,因为 pandas 库希望我们使用SQLAlchemy三方库接入数据库,具体内容是:“UserWarning: pandas only supports SQLAlchemy connectable (engine/connection) or database string URI or sqlite3 DBAPI2 connection. Other DBAPI2 objects are not tested. Please consider using SQLAlchemy.”...
$ python pandas_test.py D:\temp\pandas-issue-57178\pandas_test.py:10: UserWarning: pandas only supports SQLAlchemy connectable (engine/connection) or database string URI or sqlite3 DBAPI2 connection. Other DBAPI2 objects are not tested. Please consider using SQLAlchemy. df.to_sql("Person"...
# df5 = pandas.read_sql('select * from sys_user', conn, index_col='id') # print(df5) #执行上面的代码会出现一个警告,因为 pandas 库希望我们使用SQLAlchemy三方库接入数据库, # 具体内容是:“UserWarning: pandas only supports SQLAlchemy connectable (engine/connection) or database string URI or...