Python 使用to_sql函数时出错
我使用下面的代码将数据从SQL提取到数据帧中,效果很好Python 使用to_sql函数时出错,python,sql-server,pandas-to-sql,Python,Sql Server,Pandas To Sql,我使用下面的代码将数据从SQL提取到数据帧中,效果很好 import pyodbc cnxn = pyodbc.connect("Driver={SQL Server Native Client 11.0};" "Server=DESKTOP-5422GFU;" "Database=Python_Data;" "Trusted_Connection=yes;"
import pyodbc
cnxn = pyodbc.connect("Driver={SQL Server Native Client 11.0};"
"Server=DESKTOP-5422GFU;"
"Database=Python_Data;"
"Trusted_Connection=yes;"
"uid=User;pwd=password")
df = pd.read_sql_query('select * from Persons', cnxn)
df
但是当我加上这一行
df.to_sql('test', schema = 'public', con = cnxn, index = False,
if_exists = 'replace')
要将数据发送回服务器,我会得到一个错误
DatabaseError: Execution failed on sql 'SELECT name FROM sqlite_master WHERE type='table' AND name=?;': ('42S02', "[42S02] [Microsoft][SQL Server Native Client 11.0][SQL Server]Invalid object name 'sqlite_master'. (208) (SQLExecDirectW); [42S02] [Microsoft][SQL Server Native Client 11.0][SQL Server]Statement(s) could not be prepared. (8180)")
我已经尝试了多种解决方案,但都无法成功。我相信问题在于您的“con=cnxn”声明。试试这个:
import pandas as pd
import sqlalchemy
from sqlalchemy import create_engine
OBDC_cnxn='Python_Data_ODBC' #this will be the name of the ODBC connection to this database in your ODBC manager.
engine = create_engine('mssql+pyodbc://'+ODBC_cnxn)
df.to_sql('test', schema = 'public', con = engine, index = False,
if_exists = 'replace')
可能重复的