Python SQL Alchemy不会将现有表附加到熊猫

我只是想把表上传到公司服务器上，但在第一次上传后，它不会在同一个表中追加或替换

#Import Libraries# 
import pyodbc
import sqlalchemy as sal
from sqlalchemy import create_engine
import pandas as pd
#SQL Alchemy Connection String

engine = sal.create_engine('mssql+pyodbc://GRATHDB03\REPLICA/DATAWRHS-TRAINING?driver=SQL Server Native Client 11.0?Trusted_Connection=yes',
                           fast_executemany=True
                          )
#Read and Upload the file
df=pd.read_csv(r'C:\Users\ehan\Downloads\results-survey177217 (1).csv')
df.columns=df.columns.str.replace('/', '').str.replace('?','').str.replace('&','').str.replace(';','').str.replace(',','').str.replace(':','').str.replace('Kindly rate your trainer on the following catagories','')
df.columns=df.columns.str.replace('[','').str.replace(']','')
df['Date submitted']=pd.to_datetime(df['Date submitted'], dayfirst=True)
df['Date started']=pd.to_datetime(df['Date started'],dayfirst=True)
df.to_sql('limesurveytest3', engine, index=False, if_exists='append',schema='[dbo]')

这里是错误

（pyodbc.ProgrammingError）（'42S01'，“[42S01][Microsoft][SQL Server原生客户端11.0][SQL Server]数据库中已存在名为'limesurveytest3'的对象。（2714）（SQLExecDirectW）”）

未使用[]

df.to_sql('limesurveytest3', engine, index=False, if_exists='append',schema='dbo')

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尝试

schema='dbo'

而不是

schema='dbo'