Python 超级：超过最大递归深度

我试图在另一个类中对Pandas的DataFrame进行子类化，就像GeoPandas中的GeoDataFrame一样

然而，我得到了一份工作

超过最大递归深度错误

当我跑步时：

from pandas import DataFrame

df = pd.DataFrame({'A':[1,2,4], 'B':[4,5,6]})

class NewDataFrame(DataFrame):
    def __init__(self, dataframe: pd.DataFrame) -> None:
        self.dataframe = dataframe
        super(NewDataFrame, self).__init__(dataframe)

    def do_something(self):
        print(self.dataframe.columns)

ndf  = NewDataFrame(df)

完全错误

Traceback (most recent call last):
  File "/Users/as/Documents/projects/model/.venv/lib/python3.7/site-packages/IPython/core/interactiveshell.py", line 3326, in run_code
    exec(code_obj, self.user_global_ns, self.user_ns)
  File "<ipython-input-40-03d15755b527>", line 9, in <module>
    ndf  = NewDataFrame(df)
  File "<ipython-input-40-03d15755b527>", line 3, in __init__
    self.dataframe = dataframe
  File "/Users/as/Documents/projects/model/.venv/lib/python3.7/site-packages/pandas/core/generic.py", line 5092, in __setattr__
    existing = getattr(self, name)
  File "/Users/as/Documents/projects/model/.venv/lib/python3.7/site-packages/pandas/core/generic.py", line 5065, in __getattr__
    if self._info_axis._can_hold_identifiers_and_holds_name(name):
  File "/Users/as/Documents/projects/model/.venv/lib/python3.7/site-packages/pandas/core/generic.py", line 5065, in __getattr__
    if self._info_axis._can_hold_identifiers_and_holds_name(name):
  File "/Users/as/Documents/projects/model/.venv/lib/python3.7/site-packages/pandas/core/generic.py", line 5065, in __getattr__
    if self._info_axis._can_hold_identifiers_and_holds_name(name):
  [Previous line repeated 1484 more times]
  File "/Users/as/Documents/projects/model/.venv/lib/python3.7/site-packages/pandas/core/generic.py", line 428, in _info_axis
    return getattr(self, self._info_axis_name)
  File "/Users/as/Documents/projects/model/.venv/lib/python3.7/site-packages/pandas/core/generic.py", line 5063, in __getattr__
    return object.__getattribute__(self, name)
  File "pandas/_libs/properties.pyx", line 65, in pandas._libs.properties.AxisProperty.__get__
  File "/Users/as/Documents/projects/model/.venv/lib/python3.7/site-packages/pandas/core/generic.py", line 5063, in __getattr__
    return object.__getattribute__(self, name)
RecursionError: maximum recursion depth exceeded while calling a Python object

我知道和，但这两个问题的答案似乎都是我所做的，除非我遗漏了什么

---

我使用的是Mac OS 10.14.5和Python 3.7.3，代码中有一个无限循环。也许你一直在寻找这样的东西：

从导入数据帧 类NewDataFrameDataFrame： 定义初始化自身，参数->无： 超级参数 定义做什么自己： printself.columns ndf=新数据帧{'A'：[1,2,4]，'B'：[4,5,6]}

---

在您提供的示例中，initialization参数不像您正在尝试的那样是dataframe实例，而是定义列的字符串。为什么要调用pd.dataframe构造函数两次？为什么不直接用字典调用pd.Dataframe呢？d={'A'：[1,2,4]，'B'：[4,5,6]}类NewDataFrameDataFrameDataFrame:def_uinit_uself，dict:myDict->None:superNewDataFrame，self.\uu init__myDict@ipaleka它是一根绳子吗？我认为这是一个错误dataframe@ma3oundf只是一个例子，它不是我试图调用到类中的实际数据帧。@salhin实际上我错了，super甚至在没有这些参数的情况下被调用，所以只提供了*args、**kwargs。这意味着字典应作为第一个位置参数或名为argument的数据。但以后在其他函数中如何调用self.param？我已经更新了我的问题的示例，使其更加准确。事实上，我发现使用您的答案，我可以将param称为self而不是self.param，然后它就可以正常工作了。如果您更新您的答案，我可以将其标记为已接受。