类型错误:类型别名不能与IsInstance()一起使用

自从我将pandas升级到0.23.0之后,运行一行以删除空白区,就会出现此错误。 df.any_column = df.any_column.str.replace(' ','')

我收到的错误消息如下:

/usr/local/lib/python3.5/dist-packages/pandas/core/strings.py in replace(self, pat, repl, n, case, flags, regex)
   2427     def replace(self, pat, repl, n=-1, case=None, flags=0, regex=True):
   2428         result = str_replace(self._data, pat, repl, n=n, case=case,
-> 2429                              flags=flags, regex=regex)
   2430         return self._wrap_result(result)
   2431

/usr/local/lib/python3.5/dist-packages/pandas/core/strings.py in str_replace(arr, pat, repl, n, case, flags, regex)
    637         raise TypeError("repl must be a string or callable")
    638
--> 639     is_compiled_re = is_re(pat)
    640     if regex:
    641         if is_compiled_re:

/usr/local/lib/python3.5/dist-packages/pandas/core/dtypes/inference.py in is_re(obj)
    217     """
    218
--> 219     return isinstance(obj, re_type)
    220
    221

/usr/lib/python3.5/typing.py in __instancecheck__(self, obj)
    258
    259     def __instancecheck__(self, obj):
--> 260         raise TypeError("Type aliases cannot be used with isinstance().")
    261
    262     def __subclasscheck__(self, cls):

TypeError: Type aliases cannot be used with isinstance().

我该怎么解决这个问题?