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我正在将一个表保存到 SQL 服务器中，并需要它来替换现有的同名表。

df1.to_sql('customer', schema = r'Marketing\xyz', con = engine, index = False, if_exists = 'replace')

工作，但在架构中添加括号会破坏它：

df1.to_sql('customer', schema = r'[Marketing\xyz]', con = engine, index = False, if_exists = 'replace')

出现此错误：

Traceback (most recent call last):

  File "<ipython-input-11-69ec99f37fd6>", line 1, in <module>
    df1.to_sql('customer', schema = r'[abc\xyz]', con = engine, index = False, if_exists = 'replace')

  File "C:\Users\xyz\AppData\Local\Continuum\anaconda3\lib\site-packages\pandas\core\generic.py", line 2712, in to_sql
    method=method,

  File "C:\Users\xyz\AppData\Local\Continuum\anaconda3\lib\site-packages\pandas\io\sql.py", line 518, in to_sql
    method=method,

  File "C:\Users\xyz\AppData\Local\Continuum\anaconda3\lib\site-packages\pandas\io\sql.py", line 1319, in to_sql
    table.create()

  File "C:\Users\xyz\AppData\Local\Continuum\anaconda3\lib\site-packages\pandas\io\sql.py", line 656, in create
    self._execute_create()

  File "C:\Users\xyz\AppData\Local\Continuum\anaconda3\lib\site-packages\pandas\io\sql.py", line 638, in _execute_create
    self.table.create()

  File "C:\Users\xyz\AppData\Local\Continuum\anaconda3\lib\site-packages\sqlalchemy\sql\schema.py", line 860, in create
    bind._run_visitor(ddl.SchemaGenerator, self, checkfirst=checkfirst)

  File "C:\Users\xyz\AppData\Local\Continuum\anaconda3\lib\site-packages\sqlalchemy\engine\base.py", line 2036, in _run_visitor
    conn._run_visitor(visitorcallable, element, **kwargs)

  File "C:\Users\xyz\AppData\Local\Continuum\anaconda3\lib\site-packages\sqlalchemy\engine\base.py", line 1607, in _run_visitor
    visitorcallable(self.dialect, self, **kwargs).traverse_single(element)

  File "C:\Users\xyz\AppData\Local\Continuum\anaconda3\lib\site-packages\sqlalchemy\sql\visitors.py", line 132, in traverse_single
    return meth(obj, **kw)

  File "C:\Users\xyz\AppData\Local\Continuum\anaconda3\lib\site-packages\sqlalchemy\sql\ddl.py", line 826, in visit_table
    include_foreign_key_constraints,

  File "C:\Users\xyz\AppData\Local\Continuum\anaconda3\lib\site-packages\sqlalchemy\engine\base.py", line 988, in execute
    return meth(self, multiparams, params)

  File "C:\Users\xyz\AppData\Local\Continuum\anaconda3\lib\site-packages\sqlalchemy\sql\ddl.py", line 72, in _execute_on_connection
    return connection._execute_ddl(self, multiparams, params)

  File "C:\Users\xyz\AppData\Local\Continuum\anaconda3\lib\site-packages\sqlalchemy\engine\base.py", line 1050, in _execute_ddl
    compiled,

  File "C:\Users\xyz\AppData\Local\Continuum\anaconda3\lib\site-packages\sqlalchemy\engine\base.py", line 1248, in _execute_context
    e, statement, parameters, cursor, context

  File "C:\Users\xyz\AppData\Local\Continuum\anaconda3\lib\site-packages\sqlalchemy\engine\base.py", line 1466, in _handle_dbapi_exception
    util.raise_from_cause(sqlalchemy_exception, exc_info)

  File "C:\Users\xyz\AppData\Local\Continuum\anaconda3\lib\site-packages\sqlalchemy\util\compat.py", line 398, in raise_from_cause
    reraise(type(exception), exception, tb=exc_tb, cause=cause)

  File "C:\Users\xyz\AppData\Local\Continuum\anaconda3\lib\site-packages\sqlalchemy\util\compat.py", line 152, in reraise
    raise value.with_traceback(tb)

  File "C:\Users\xyz\AppData\Local\Continuum\anaconda3\lib\site-packages\sqlalchemy\engine\base.py", line 1244, in _execute_context
    cursor, statement, parameters, context

  File "C:\Users\xyz\AppData\Local\Continuum\anaconda3\lib\site-packages\sqlalchemy\engine\default.py", line 552, in do_execute
    cursor.execute(statement, parameters)

ProgrammingError: (pyodbc.ProgrammingError) ('42S01', "[42S01] [Microsoft][ODBC Driver 13 for SQL Server][SQL Server]There is already an object named 'customer' in the database. (2714) (SQLExecDirectW)")
[SQL: 
CREATE TABLE [Marketing\xyz].customer (
    [Customer] not NULL
)

]
(Background on this error at: http://sqlalche.me/e/f405)

任何人都知道为什么在模式中添加括号会导致熊猫无法自动为我删除表格？谢谢-

我在用着

sys.version
Out[19]: '3.7.4 (default, Aug  9 2019, 18:34:13) [MSC v.1915 64 bit (AMD64)]'

pd.__version__
Out[16]: '0.25.3'
4

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